View source for Image Processing Algorithms

==[http://en.wikipedia.org/wiki/Dither Image Dithering]==
*[http://www.barco.com/barcoview/downloads/Dithering_explained.pdf Dithering Explained.pdf] | [https://web.archive.org/web/20141201005112/http://www.barco.com/barcoview/downloads/Dithering_explained.pdf mirror]

*[http://www.tannerhelland.com/4660/dithering-eleven-algorithms-source-code/ Image Dithering: Eleven Algorithms and Source Code] | [http://web.archive.org/web/20140828032409/http://www.tannerhelland.com/4660/dithering-eleven-algorithms-source-code/ mirror]

*[https://www.cs.princeton.edu/courses/archive/fall00/cs426/lectures/dither/dither.pdf Image Quantization, Halftoning, and Dithering.pdf] | [https://web.archive.org/web/20140726022952/http://www.cs.princeton.edu/courses/archive/fall00/cs426/lectures/dither/dither.pdf mirror]

===Error Diffusion===
*[http://www.csee.wvu.edu/~xinl/papers/SPL2006a.pdf Edge-Directed Error Diffusion Halftoning] | [http://web.archive.org/web/20100108045327/http://www.csee.wvu.edu/%7Exinl/papers/SPL2006a.pdf mirror]

*[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.62.3476&rep=rep1&type=pdf Optimized Error Diffusion for Image Display.pdf] | [http://web.archive.org/web/20140423052153/http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.62.3476&rep=rep1&type=pdf mirror] | [http://forum.doom9.org/showthread.php?t=160038&page=2 Doom9 Forum discussion]
<br>

==Image Formats==
*[http://developer.apple.com/quicktime/icefloe/dispatch019.html#v210 v210] v210 is a Quicktime format for storing 10bit YUV video.  It's supported by qtinput and deepcolor tools.<br>
*[https://www.apple.com/final-cut-pro/docs/Apple_ProRes_White_Paper.pdf Apple ProRes White Paper] | [https://web.archive.org/web/20140723141334/http://www.apple.com/final-cut-pro/docs/Apple_ProRes_White_Paper.pdf Mirror]
<br>

==Image Denoising==
*[http://www.csee.wvu.edu/~xinl/courses/ee565/denoising_review.pdf A Review of Image Denoising Algorithms, With a New One.pdf] | [https://web.archive.org/web/20141130231248/http://www.csee.wvu.edu/~xinl/courses/ee565/denoising_review.pdf mirror]

*[http://iasir.net/IJETCASpapers/IJETCAS13-340.pdf A Review on Image Denoising Techniques.pdf] | [https://web.archive.org/web/20140911193010/http://iasir.net/IJETCASpapers/IJETCAS13-340.pdf mirror]

===False Contour===
Also known as [http://en.wikipedia.org/wiki/Colour_banding Color Banding] and Posterization. Posterization and false contouring are definitely the same thing. Banding can absolutely be used in the same way, but is also used to describe a very different phenomenon where vertical or horizontal "bands" are seen on screen (sort of delineated by differing amounts of darkness/lightness). But yes, they can be all used to describe the same phenomenon.[http://www.avsforum.com/forum/167-plasma-flat-panel-displays/1354487-posterization-banding-false-contouring-all-same.html#post20833953]

*[http://www.google.com/patents/US7747100 Adaptive Directional Edge-Preserving False Contour Filtering]

*[http://www.google.com/patents/US20060233456 Apparatus for Removing False Contour and Method Thereof]

*[http://www.google.com/patents/US8532198 Banding Artifact Detection in Digital Video Content]

*[http://www.ee.cuhk.edu.hk/~knngan/2011/TIP_v20_n8_p2110-2121.pdf Composite Model-Based DC Dithering for Suppressing Contour Artifacts in Decompressed Video.pdf] | [https://web.archive.org/web/20141201012218/http://www.ee.cuhk.edu.hk/~knngan/2011/TIP_v20_n8_p2110-2121.pdf mirror]

*[http://spie.org/Publications/Proceedings/Paper/10.1117/12.526937 Decontouring: Prevention and Removal of False Contour Artifacts]

*[http://cilab.knu.ac.kr/seminar/Seminar/2012/20120804%20False%20contour%20reduction%20using%20neural%20networks%20and%20adaptive%20bi-directional%20smoothing.pdf False Contour Reduction Using Neural Networks and Adaptive Bi-Directional Smoothing]

*[http://www.sciencedirect.com/science/article/pii/0146664X82900600 False-Contour Removal by Random Blurring]

*[http://www.cecs.uci.edu/~papers/icme05/defevent/papers/cr1737.pdf Flat-Region Detection ans False Contour Removal in the Digital TV Display] | [https://web.archive.org/web/20141201012503/http://www.cecs.uci.edu/~papers/icme05/defevent/papers/cr1737.pdf mirror]

*[http://www.google.com/patents/US8731323 General Banding and Codec Banding Artifact Removal]

*[http://cilab.knu.ac.kr/seminar/Seminar/2010/20100403%20Multiscale%20Probabilistic%20Dithering%20for%20Suppressing%20Contour%20Artifacts%20in%20Digital%20Images.pdf Multi-Scale Probabilistic Dithering for Suppressing Contour Artifacts in Digital Images.pdf] | [https://web.archive.org/web/20141201011345/http://cilab.knu.ac.kr/seminar/Seminar/2010/20100403%20Multiscale%20Probabilistic%20Dithering%20for%20Suppressing%20Contour%20Artifacts%20in%20Digital%20Images.pdf mirror]

*[http://people.csail.mit.edu/ouyang/papers/Ouyang2005NURJ.pdf Removing Quantization Artifacts In Color Images Using Bounded Interval Regularization]

===Fractal and Wavelet Denoising===
*[http://etd.uwaterloo.ca/etd/mghazel2004.pdf Adaptive Fractal and Wavelet Image Denoising.pdf] | [https://web.archive.org/web/20050129021103/http://etd.uwaterloo.ca/etd/mghazel2004.pdf mirror]

*[http://airccse.org/journal/jma/0810ijma05.pdf Analysis of Multi Resolution Image Denoising Scheme using Fractal Transform.pdf] | [https://web.archive.org/web/20141130223731/http://airccse.org/journal/jma/0810ijma05.pdf mirror]

*[http://repository.lib.polyu.edu.hk/jspui/bitstream/10397/976/2/b18354129_ir.pdf Fractal-based Techniques and Their Applications] | [https://web.archive.org/web/20141130230302/http://repository.lib.polyu.edu.hk/jspui/bitstream/10397/976/2/b18354129_ir.pdf mirror] 

*[http://links.uwaterloo.ca/papers/waterloo/fwdenoising_ieee.pdf Fractal-Wavelet Image Denoising Revisited.pdf] | [https://web.archive.org/web/20110727071828/http://links.uwaterloo.ca/papers/waterloo/fwdenoising_ieee.pdf mirror]

*[http://www.f4.fhtw-berlin.de/~barthel/paper/spie_5266-5.pdf Image Denoising Using Fractal and Wavelet-Based Methods.pdf] | [https://web.archive.org/web/20090424205750/http://www.f4.fhtw-berlin.de/~barthel/paper/spie_5266-5.pdf mirror]

*[https://www.birs.ca/workshops/2014/14w5045/files/Mendivil_BIRS_talk.pdf Some Applications of Fractal Methods in Imaging.pdf] | [https://web.archive.org/web/20141130224723/https://www.birs.ca/workshops/2014/14w5045/files/Mendivil_BIRS_talk.pdf mirror]

===Mosquito Noise===
*[http://enpub.fulton.asu.edu/resp/vpqm/vpqm10/Proceedings_VPQM2010/vpqm_p39.pdf Adaptive Deringing and Mosquito Noise Reducer.pdf]

*[http://www.itl.nist.gov/iad/894.05/docs/MosquitoNoise2000.pdf Mosquito Noise in MPEG Compressed Video Test Patterns and Metrics.pdf]

*[http://tvit.org/GuyCD/Reports/Papers/Survey_of_MPEG_Artifact_Removal_Algorithms2.pdf MPEG Artifact Removal Algorithms.pdf]

*[http://alexandria.tue.nl/extra1/afstversl/E/606860.pdf Post-Processing Techniques for Compression Artifact Removal in Block-Coded Video and Images.pdf]

*[http://enpub.fulton.asu.edu/resp/Papers/2007/AbbasKaram_ICASSP_Apr07.pdf Suppression of Mosquito Noise by Recursive Epsilon-Filters.pdf]

*[http://hal.archives-ouvertes.fr/docs/00/45/01/21/PDF/Mantel_temporal_MN_corrector_Qomex09.pdf Temporal Mosquito Noise Corrector.pdf]

===[http://en.wikipedia.org/wiki/Non-local_means NL Means]===
*[http://www.eurasip.org/Proceedings/Ext/LNLA2008/papers/cr1026.pdf An Improved Non-local Denoising Algorithm.pdf] | [https://web.archive.org/web/20140423053700/http://www.eurasip.org/Proceedings/Ext/LNLA2008/papers/cr1026.pdf mirror] | [http://forum.doom9.org/showthread.php?p=1285264#post1285264 Doom9 Forum discussion]<br>

*[http://bengal.missouri.edu/~kes25c/nl2.pdf A Non-local Algorithm for Image Denoising] | [https://web.archive.org/web/20130825190000/http://bengal.missouri.edu/~kes25c/nl2.pdf mirror]

*[http://www.gipsa-lab.grenoble-inp.fr/~laurent.condat/publis/condat_resreport_NLmeansv3.pdf A Simple Trick to Speed Up and Improve the Non-local Means.pdf] | [https://web.archive.org/web/20141130232206/http://www.gipsa-lab.grenoble-inp.fr/~laurent.condat/publis/condat_resreport_NLmeansv3.pdf mirror]

*[http://www.irisa.fr/vista/Papers/2007_ssvm_kervrann.pdf Bayesian Non-Local Means Filter, Image Redundancy and Adaptive Dictionaries for Noise Removal] | [https://web.archive.org/web/20130402094300/http://www.irisa.fr/vista/Papers/2007_ssvm_kervrann.pdf mirror]

*[https://web.archive.org/web/20141201002402/http://cs.nju.edu.cn/ywguo/webs/paperdownload/Fast_Non-Local_Algorithm_for_Image_Denoising.pdf Fast Non-Local Algorithm for Image Denoising.pdf ]

*[http://www-personal.umich.edu/~arunsg/NLMeans.pdf Investigation of the Non-local Means Algorithm.pdf] | [https://web.archive.org/web/20120202135021/http://www-personal.umich.edu/~arunsg/NLMeans.pdf mirror]

*[http://arxiv.org/ftp/arxiv/papers/1304/1304.0839.pdf Multiscale Hybrid Non-local Means Filtering Using Modified Similarity Measure.pdf]

*[http://www.cs.toronto.edu/~kyros/courses/2530/papers/Lecture-06/Buades2008.pdf Non-local Image and Movie Denoising.pdf] | [https://web.archive.org/web/20141130233915/http://www.cs.toronto.edu/~kyros/courses/2530/papers/Lecture-06/Buades2008.pdf mirror]

===Salt and Pepper Noise===
*[http://agromessenger.com/resources/pdf/4e93f9fb078b4.pdf A Recursive Gaussian Weighted Filter for Impulse Noise Removal.pdf] | [https://web.archive.org/web/20141130233029/http://agromessenger.com/resources/pdf/4e93f9fb078b4.pdf mirror] | [http://forum.doom9.org/showthread.php?p=1238126#post1238126 Doom9 Forum discussion]<br>
<br>

==Image Inpainting==
*[http://web.archive.org/web/20061231002355/http://research.microsoft.com/vision/cambridge/papers/Criminisi_cvpr03.pdf Object Removal by Exemplar-Based Inpainting. A. Criminisi, P. Perez, K. Toyama] | [http://web.archive.org/web/20071219073933/http://www.cc.gatech.edu/grads/q/qszhang/project/inpainting.htm Source code from Qiushuang Zhang]<br>
*[http://avisynth.org.ru/fizick.html ExInPaint by Fizick] - An AviSynth plugin based on the above papers | [http://forum.doom9.org/showthread.php?t=133773 ExInPaint discussion]<br>
*[http://www-m3.ma.tum.de/Allgemeines/Projekte#Fast_Image_Inpainting_Based_on_C Fast Image Inpainting Based on Coherence Transport] - Homepage<br>
*[http://www-m3.ma.tum.de/bornemann/inpainting.pdf Fast Image Inpainting Based on Coherence Transport] - High quality version of paper, pdf.  Based on a detailed analysis of stationary first order transport equations the current paper develops a fast noniterative method for image inpainting.  It traverses the inpainting domain by the fast marching method just once while transporting, along the way, image values in a coherence direction robustly estimated by means of the structure tensor.  Depending on a measure of coherence strength the method switches continuously between diffusion and directional transport.  It satisfies a comparison principle.<br>
*[http://forum.doom9.org/showthread.php?p=1086451#post1086451 Discussion of AVSInPaint] - AVSInPaint is based on the above papers.<br>
*[http://portal.acm.org/citation.cfm?id=1291237 Digital inpainting: a tutorial] - This tutorial will cover the most recent contributions in image inpainting / image completion, video inpainting, and 3-D surface completion. (from 2007)<br>
<br>

==Image Scaling==
*[http://new.ics.ele.tue.nl/~dehaan/pdf/90_jsid2003.pdf Subpixel Image Scaling for Color Matrix Displays, Michiel A. Klompenhouwer, Gerard de Haan] - Subpixel rendering’ algorithms are being used to convert an input image to subpixel-corrected display images. This paper deals with the consequences of the subpixel structure, and the theoretical background of the resolution gain. We will show that this theory allows a low-cost implementation in an image scaler. This leads to high ?exibility, allowing di?erent subpixel arrangements and a simple control over the trade-o? between perceived resolution and color errors.<br>
[http://forum.doom9.org/showthread.php?p=1370543#post1370543 Discussion]<br>

*[http://ethesis.nitrkl.ac.in/5546/1/E-THESIS_20.pdf Adpative Image Interpolation.pdf] | [https://web.archive.org/web/20141130215144/http://ethesis.nitrkl.ac.in/5546/1/E-THESIS_20.pdf mirror]

*[http://www.scienceasia.org/2014.40.n2/scias40_168.pdf Image Interpolation Based on Non-Local Self-Similarity] | [https://web.archive.org/web/20141130225606/http://www.scienceasia.org/2014.40.n2/scias40_168.pdf mirror]

*[http://pdf.aminer.org/000/312/775/an_image_interpolation_scheme_for_repetitive_structures.pdf Non-Local Image Interpolation.pdf]

=== Edge Directed Interpolation ===
*[http://www.tecnick.com/pagefiles/papers/85_Asuni_Giachetti_iNEDI_VISAPP2008.pdf Accuracy Improvements and Artifacts Removal in Edge Based Image Interpolation.pdf] | [https://web.archive.org/web/20141130210731/http://www.tecnick.com/pagefiles/papers/85_Asuni_Giachetti_iNEDI_VISAPP2008.pdf mirror]

*[http://www.site.uottawa.ca/~edubois/theses/Ranger_thesis.pdf Adaptive Image Magnification Using Edge-Directed and Statistical Methods] | [https://web.archive.org/web/20070221042311/http://www.site.uottawa.ca/~edubois/theses/Ranger_thesis.pdf mirror]

*[http://web.archive.org/web/20041221052401/http://www.cs.ucdavis.edu/~bai/ECS231/finaltzeng.pdf Adaptive New Edge-Directed Interpolation.pdf]

*[http://www.eie.polyu.edu.hk/~wcsiu/paper_store/Conference/2009_Conf/2009_Eusipco_TamKokSiu_1569192778.pdf A Modified Edge Directed Interpolation for Images.pdf] | [https://web.archive.org/web/20141130205113/http://www.eie.polyu.edu.hk/~wcsiu/paper_store/Conference/2009_Conf/2009_Eusipco_TamKokSiu_1569192778.pdf mirror]

*[http://ee.ce.nihon-u.ac.jp/~taizo/pdf/intcnf/201009_ICIP2.pdf Edge-Adaptive Image Interpolation Using Constrained Least Squares.pdf] | [https://web.archive.org/web/20141130214600/http://ee.ce.nihon-u.ac.jp/~taizo/pdf/intcnf/201009_ICIP2.pdf mirror]

*[http://chiranjivi.tripod.com/EDITut.html Edge-Directed Interpolation] | [http://web.archive.org/web/20130511083706/http://chiranjivi.tripod.com/EDITut.html mirror]

*[https://smartech.gatech.edu/bitstream/handle/1853/42734/pekkucuksen_ibrahim_e_201112_phd.pdf Edge Directed Resolution Enhancement and Demosaicing.pdf] | [https://web.archive.org/web/20141130213632/https://smartech.gatech.edu/bitstream/handle/1853/42734/pekkucuksen_ibrahim_e_201112_phd.pdf mirror]

*[http://www.csee.wvu.edu/~xinl/courses/ee565/nedi.pdf New Edge-Directed Interpolation.pdf] | [https://web.archive.org/web/20140810115631/http://www.csee.wvu.edu/~xinl/papers/NEDI.pdf mirror] | [http://www.csee.wvu.edu/~xinl/papers/ICIP2000a.pdf alternate variant] | [http://www.csee.wvu.edu/%7Exinl/code/nedi.zip MATLAB code] | [http://www.csee.wvu.edu/~xinl/source.html Homepage]

*[http://arxiv.org/ftp/arxiv/papers/1303/1303.6455.pdf Performance Evaluation of Edge-Directed Interpolation Methods for Images.pdf]

*[http://forum.doom9.org/showthread.php?t=170727 Shader Implementation of the NEDI Algorithm]

=== Spline Scaling ===
*http://lear.inrialpes.fr/people/triggs/pubs/Triggs-iccv01-subpix.pdf<br>

*http://www.fugroairborne.com/resources/technical_notes/time_domain_em/pdfs/Akima_tension_III.pdf<br>

*http://www.korf.co.uk/spline.pdf<br>

*http://math.lanl.gov/~mac/papers/numerics/H83.pdf<br>

*http://www.cs.cmu.edu/~fp/courses/graphics/asst5/catmullRom.pdf<br>

*[http://forum.doom9.org/showthread.php?p=1286008#post1286008 Further discussion on spline resizing and links]<br>

*[http://forum.doom9.org/showthread.php?p=1288573#post1288573 another discussion]<br>
<br>

==Image Deblurring==
*[http://www.iop.org/EJ/abstract/0266-5611/25/1/015002 A scaled gradient projection method for constrained image deblurring] - A class of scaled gradient projection methods for optimization problems with simple constraints is considered. These iterative algorithms can be useful in variational approaches to image deblurring that lead to minimized convex nonlinear functions subject to non-negativity constraints and, in some cases, to an additional flux conservation constraint. A special gradient projection method is introduced that exploits effective scaling strategies and steplength updating rules, appropriately designed for improving the convergence rate. We give convergence results for this scheme and we evaluate its effectiveness by means of an extensive computational study on the minimization problems arising from the maximum likelihood approach to image deblurring. Comparisons with the standard expectation maximization algorithm and with other iterative regularization schemes are also reported to show the computational gain provided by the proposed method.<br>
*[http://cdm.unimo.it/home/matematica/zanni.luca/B_Z_Z_IP2008.pdf A Scaled Gradient Projection Method for Constrained Image Deblurring SBonettini, R Zanella and L Zanni] - A class of scaled gradient projection methods for optimization problems with simple constraints is considered. These iterative algorithms can be useful in variational approaches to image deblurring that lead to minimize convex nonlinearfunctions subject to nonnegativity constraints and, in some cases, to an additional °ux conservation constraint. A special gradient projection method is introduced that exploits e®ective scaling strategies and steplength updating rules, appropriately designed for improving the convergence rate. We give convergence results for this scheme and we evaluate its e®ectiveness by means of an extensive computational study on the minimization problems arising from the maximum likelihood approach to image deblurring. Comparisons with the standard expectation maximization algorithm and with other iterative regularization schemes are also reported to show the computational gain provided by the proposed method.<br>[http://forum.doom9.org/showthread.php?p=1369305#post1369305 Discussion] - Seems to need camera parameters, so may be a dead end.<br>
<br>

==Standardized Video Test Patterns==
*[http://www.itu.int/rec/R-REC-BT.801-1-199510-I/en Rec. ITU-R BT.801-1, Annex 2, P13-15]<br>
*[http://www.itu.int/rec/R-REC-BT.1729-0-200504-I/en Rec. ITU-R BT.1729, Page16]<br>
The colorbars values are listed below:<br>
<pre>
Rec. ITU-R BT.801-1
Description of encoded colour-bar signals according to the 4:2:2 level
of Recommendation ITU-R BT.601
100/0/75/0 colour bars
color		Y	Cb	Cr
white		235	128	128
yellow		162	 44	142
cyan		131	156	 44
green		112	 72	 58
magenta		 84	184	198
red		 65	100	212
blue		 35	212	114
black		 16	128	128
</pre>
<pre>
Description of encoded colour-bar signals according to the 4:2:2 level
of Recommendation ITU-R BT.601
100/0/100/0 colour bars
AND
Rec. ITU-R BT.1729
Appendix 2
100% colorbars
color		Y	Cb	Cr
white		235	128	128
yellow		210	 16	146
cyan		170	166	 16
green		145	 54	 34
magenta		106	202	222
red		 81	 90	240
blue		 41	240	110
black		 16	128	128
</pre>
[http://forum.doom9.org/showthread.php?p=795469#post795469 Discussion of standards references]<br>
<br>

==SuperResolution==
*http://auricle.dyndns.org/ALE/<br>
*http://www.soe.ucsc.edu/~milanfar/software/superresolution.html<br>
*http://www.ece.lsu.edu/ipl/Demos.html<br>
*http://ericpbennett.com/VideoEnhancement/BennettMcMillanSIGGRAPH.pdf<br>
*http://www.imse.cnm.es/Xfuzzy/xfpapers.html<br>
*http://www.imse.cnm.es/online/2005/ANNIE2005.JGR.pdf <br>
*http://www.escet.urjc.es/~asanz/investigacion_en.html<br>
*http://www.hindawi.com/GetArticle.aspx?doi=10.1155/2009/381673<br>
*http://www.faculty.idc.ac.il/toky/Publications/Journal/superRes.pdf<br>
*http://www.utia.cas.cz/files/Soutez_08/Aplikace/Sroubek/gui_help_v12.pdf<br>
*[http://forum.doom9.org/showthread.php?p=1114830#post1114830 further links and discussion on SuperResolution]
<br>

==Image Registration==
*[http://web.archive.org/web/20100901171041/http://www.wedesoft.demon.co.uk/hornetseye-api/files/phasecorrelation-txt.html Phase Correlation]<br>
*[http://web.archive.org/web/20121012090247/http://nashruddin.com/phase-correlation-function-in-opencv.html Phase Correlation in OpenCV]<br>
*[http://scien.stanford.edu/pages/labsite/2000/ee392j/projects/liang_report.pdf Phase-Correlation Motion Estimation.pdf] | [https://web.archive.org/web/20141130141106/http://scien.stanford.edu/pages/labsite/2000/ee392j/projects/liang_report.pdf Mirror]<br>
<br>

==Deinterlacing==
*[http://image.diku.dk/sunebio/KellerLauzeNielsen.pdf A Total Variation Motion Adaptive Deinterlacing Scheme] | [https://web.archive.org/web/20140720120804/http://image.diku.dk/sunebio/KellerLauzeNielsen.pdf Mirror]<br>
*[http://www.eurasip.org/Proceedings/Eusipco/Eusipco2005/defevent/papers/cr1859.pdf Classification Based Data Mixing for Hybrid De-Interlacing Techniques] | [https://web.archive.org/web/20140423044854/http://www.eurasip.org/Proceedings/Eusipco/Eusipco2005/defevent/papers/cr1859.pdf Mirror]<br>
*[http://prestospace.org/training/images/iccvg2004.pdf High Quality Deinterlacing Using Inpainting and Shutter-Model Directed Temporal Interpolation] | [https://web.archive.org/web/20130126153127/http://prestospace.org/training/images/iccvg2004.pdf Mirror]<br>
*[http://forum.doom9.org/showthread.php?p=1215883#post1215883 Short discussion on deinterlacing]<br>
<br>

==Image Rotation==
These are based on the fast 3 shear methods:<br>
<pre>
First shear : x' = x - tan (theta/2) * y
Second shear : y' = y + sin(theta) * x
Third shear : x' = x - tan (theta/2) * y
</pre>

*[http://bigwww.epfl.ch/publications/unser9502.pdf Convolution-Based Interpolation for Fast, High-Quality Rotation of Images.pdf] | [https://web.archive.org/web/20140423082655/http://bigwww.epfl.ch/publications/unser9502.pdf Mirror]<br>
*[http://treskunov.net/anton/Software/doc/fast_and_high_quality_true_color_bitmap_rotation_function.html Fast and High Quality True-Color Bitmap Rotation Function] | [http://web.archive.org/web/20130126153127/http://treskunov.net/anton/Software/doc/fast_and_high_quality_true_color_bitmap_rotation_function.html Mirror]<br>
*[http://www.leptonica.com/rotation.html Rotation] | [http://web.archive.org/web/20141130134714/http://www.leptonica.com/rotation.html Mirror]<br>
*[http://web.archive.org/web/20040627185405/http://splorg.org/people/tobin/projects/israel/projects/paeth/rotation_by_shearing.html Rotation by Shearing]<br>
*[http://forum.doom9.org/showthread.php?p=1060263#post1060263 Further discussion and links]
<br>

== Image Sharpening ==

===Warp Sharpening ===
*[http://imaging.cs.msu.su/pub/2015.SPL.Nasonova_Krylov.Warping.en.pdf Deblurred Images Post-Processing by Poisson Warping.pdf]

*[http://www.cs.technion.ac.il/~gotsman/AmendedPubl/EnhancementByImage/EnhancementByI-D.pdf Enhancement by Image-Dependent Warping.pdf]

*[http://imaging.cs.msu.su/pub/2014.ICSP.Krylov_Nasonov.Warping1D.en.pdf Grid Warping for Image Sharpening Using One-Dimensional Approach.pdf]

*[http://imaging.cs.msu.ru/pub/2014.ICIAR.Nasonova_Krylov.Warping.en.pdf Image Warping in Dermatological Image Hair Removal.pdf]

*[http://www.virtualdub.org/blog/pivot/entry.php?id=79 The Basic "Warp Sharp" Algorithm]

<br>
==[http://en.wikipedia.org/wiki/Seam_carving Seam Carving]==
*[http://www.eng.tau.ac.il/~avidan/papers/StereoSC.pdf Geometrically Consistent Stereo Seam Carving.pdf] | [https://web.archive.org/web/20131019181926/http://www.eng.tau.ac.il/~avidan/papers/StereoSC.pdf Mirror]
*[http://www.faculty.idc.ac.il/arik/site/seam-video.asp Improved Seam Carving for Video Retargeting] | [http://web.archive.org/web/20140804093458/http://www.faculty.idc.ac.il/arik/site/seam-video.asp Mirror] | [http://www.faculty.idc.ac.il/arik/SCWeb/vidret/vidret.pdf PDF] | [https://web.archive.org/web/20140807210409/http://www.faculty.idc.ac.il/arik/SCWeb/vidret/vidret.pdf Mirror]<br>
*[http://research.ijcaonline.org/volume42/number14/pxc3877909.pdf Optimized Image Resizing using Piecewise Seam Carving.pdf] | [https://web.archive.org/web/20141130143850/http://research.ijcaonline.org/volume42/number14/pxc3877909.pdf Mirror]
*[http://www.faculty.idc.ac.il/arik/site/seam-carve.asp Seam Carving for Content-Aware Image Resizing] | [http://web.archive.org/web/20140817051401/http://www.faculty.idc.ac.il/ARIK/site/seam-carve.asp Mirror] | [http://www.faculty.idc.ac.il/arik/SCWeb/imret/imret.pdf PDF] | [https://web.archive.org/web/20080920215200/http://www.faculty.idc.ac.il/arik/imret.pdf Mirror]
*[http://pi4.informatik.uni-mannheim.de/~kopf/publications/2010/Kiess_2010a.pdf Seam Carving with Improved Edge Preservation.pdf] | [https://web.archive.org/web/20141130143547/http://pi4.informatik.uni-mannheim.de/~kopf/publications/2010/Kiess_2010a.pdf Mirror]
*[http://research.microsoft.com/pubs/144352/alex_eccvworkshop.pdf Visibility Maps for Improving Seam Carving.pdf] | [https://web.archive.org/web/20141130143335/http://research.microsoft.com/pubs/144352/alex_eccvworkshop.pdf Mirror]
*[http://forum.doom9.org/showthread.php?p=1105412#post1105412 Short Discussion] - AviSynth has a ReTarget plugin for this.<br>
<br>

==High Dynamic Range (HDR)==
*[http://www.iis.sinica.edu.tw/page/jise/2010/201005_16.pdf An Adaptive Tone Mapping Method for Displaying High Dynamic Range Images.pdf] | [http://web.archive.org/web/20141130103827/http://www.iis.sinica.edu.tw/page/jise/2010/201005_16.pdf Mirror]

*[http://cilab.knu.ac.kr/seminar/Seminar/2006/20060819%20High%20Dynamic%20Range%20Image%20Rendering%20With%20a%20Retinex-Based%20Adaptive%20Filter.pdf High Dynamic Range Image Rendering With a Retinex Based Adaptive Filter.pdf] | [http://web.archive.org/web/20141130103211/http://cilab.knu.ac.kr/seminar/Seminar/2006/20060819%20High%20Dynamic%20Range%20Image%20Rendering%20With%20a%20Retinex-Based%20Adaptive%20Filter.pdf Mirror]

*[http://www.banterle.com/francesco/publications/download/EGstar2009.pdf High Dynamic Range Imaging and Low Dynamic Range Expansion for Generating HDR Content.pdf] | [https://web.archive.org/web/20130513004224/http://www.banterle.com/francesco/publications/download/EGstar2009.pdf mirror] 

*[http://www.cescg.org/CESCG-2005/papers/Szczecin-Gorny-Pawel.pdf Highlight Removal Method for HDR Images.pdf] | [http://web.archive.org/web/20120322145538/http://www.cescg.org/CESCG-2005/papers/Szczecin-Gorny-Pawel.pdf Mirror]

*[http://infoscience.epfl.ch/record/86005/files/EPFL_TH3588.pdf Tone Mapping for High Dynamic Range Images.pdf] | [http://web.archive.org/web/20141130103038/http://infoscience.epfl.ch/record/86005/files/EPFL_TH3588.pdf Mirror]
<br>

==TODO==
*move to different section and category
*fixed all dead links

[[Category:AviSynth_Development]]