references.md

Some image processing/computer vision theory, basics and tutorials:

• light, color, perception and color space theory
• Visual Perception
• The Influence of Culture on Visual Perception (CHAPTER 14), Segall, Campbell, Herskovit 1966
• Frequently Asked Questions about Color
• Frequently Asked Questions about Gamma
• a beginners guide to bitmaps by Paul Burke
• digital image filtering (with emphasis on imagemagick)
• image processing basics
• fundamentals of image processing
• fundamentals of image processing
• image filtering basics for machine vision
• image segmentation techniques
• canny edge detection
• Vector Filtering for Color Imaging
• image processing in C (online book)
• Ballard and Brown's Computer Vision (online book)
• Szeliski, computer vision: algorithms and applications (online book draft)
• Procedural Noise, Perlin Noise, Simplex Noise
• simplex noise demystified tutorial
• (Blind) Source Separation, Independent Component Analysis
• General-purpose GPU Scientific Computing

Advanced references:

• What Every Computer Scientist Should Know About Floating-Point Arithmetic, Goldberg 1991
• Sight, Symbol and Society: Toward a History of Visual Perception, Wartofsky 1981
• Cultural Effects on Visual Perception, Masuda 2009
• Culture and Visual Perception: Does Perceptual Inference Depend on Culture?, Ishii, Tsukasaki, Kitayama 2009
• Seeing Black: Race, Crime, and Visual Processing, Eberhardt, Goff, Purdie, Davies 2004
• The effect of culture on perception and cognition: a conceptual framework, Kastanakis, Voyer 2013
• Colour Space Conversions, Ford, Roberts 1998
• New simple and efficient color space transformations for lossless image compression, Starosolski 2014
• A Survey of Gaussian Convolution Algorithms, Pascal Getreuer 2013
• Color Image Segmentation: Advances & Prospects, Chend, Jiang, Sun, Wang 2001
• A Class of Photometric Invariants: Separating Material from Shape and Illumination, Narasimhan, Ramesh, Nayar 2003
• Color Subspaces as Photometric Invariants, Zickler, Mallick, Kriegman, Belhumeu 2006
• A Perception-based Color Space for Illumination-invariant Image Processing, Chong, Gortler, Zickler 2008
• The decolorize algorithm for contrast enhancing, color to grayscale conversion, Grundland, Dodgson 2005
• Color2Gray: Salience-Preserving Color Removal, Gooch, Olsen, Tumblin, Gooch 2005
• Color to Gray and Back: Color Embedding Into Textured Gray Images, de Queiroz, Braun 2006
• Color-to-Grayscale: Does the Method Matter in Image Recognition?, Kanan, Cottrell 2012
• An Image Synthesizer, Perlin 1985
• Improving Noise, Perlin 2001
• Optimizations in perlin noise-generated procedural terrain, Marinescu 2012
• A Computational Approach to Edge Detection, Canny 1986
• Using Canny's Criteria to Derive a Recursively Implemented Optimal Edge Detector, Deriche 1987
• An Iterative Image Registration Technique with an Application to Stereo Vision, Bruce Lucas, Takeo Kanade 1981
• Detection and Tracking of Point Features, Carlo Tomasi, Takeo Kanade 1991
• Morphological Filters-Part I: Their Set-Theoretic Analysis and Relations to Linear Shift-Invariant Filters, Maragos, Schafer 1987
• Morphological Filters-Part II: Their Relations to Median, Order-Statistic, and Stack Filters, Maragos, Schafer 1987
• Morphological Grayscale Reconstruction: Definition, Efficient Algorithm and Applications in Image Analysis, Vincent 1992
• Morphological Grayscale Reconstruction in Image Analysis: Applications and Efficient Algorithms, Vincent 1993
• A fast two-dimensional median filtering algorithm, Huang, Yang, Tang 1979
• Fast Algorithms for Running Ordering and Max/Min Calculation, Pitas 1989
• Computing 2-D Min, Median, and Max Filters, Werman 1993
• A very fast algorithm for max/min filtering, Coltuc, Brulea, Buzuloiu 1996
• Fast Computation of a Class of Running Filters, Coltuc, Pitas 1998
• Very efficient implementation of max/min filters, Coltuc, Bolon 1999
• Median Filtering in Constant Time, Perreault, Hebert 2007
• Attribute Openings, Thinnings, and Granulometries, Breen, Jones, 1996
• Morphological Image Processing, Girod 2013 slides
• Fast Morphological Attribute Operations using Tarjan's Union-Find Algorithm, Wilkinson, Roerdink 2000
• An Efficient Algorithm for Attribute Openings and Closings, Darbon, Akgül 2005
• A fast thresholded linear convolution representation of morphological operations, Kisacanin, Schonfeld 1994
• A Fast Algorithm for computing Morphological Image Processing Primitives, Hagyard, Razaz, Atkin 1997
• Efficient convolution based algorithms for erosion and dilation, Razaz, Hagyard 1999
• Fast implementations of morphological operations using Fast Fourier Transform (FFT), Kosheleva, Cabrera, Gibson, Koshelev 1999
• Filtering by repeated Integration, Heckbert 1986
• Fast Almost-Gaussian Filtering using integral filters, Kovesi 2010
• Gray-level transformations for interactive image enhancement, Gonzales, Fittes 1977
• Adaptive Histogram Equalization and Its Variations, Pizer et al, 1986
• Multiple Histogram Matching, Shapira, Avidan, Hel-Or 2013
• Integral Histogram: A Fast Way to Extract Histograms in Cartesian Spaces, Porikli 2005
• Accelerating Integral Histograms Using an Adaptive Approach, Müller, Lenz, Barner, Knoll 2008
• Line Histogram: A Fast Method for Rotated Rectangular Area Histogramming, Hou, Hannuna, Xie, Mirmehdi 2015
• Bilateral Filtering for Gray and Color Images, Tomasi, Manduchi 1998
• Constant Time O(1) Bilateral Filtering, Porikli 2008
• Real-Time O(1) Bilateral Filtering, Yang, Tan, Ahuja 2009
• Fast Gauss Bilateral Filtering, Yoshizawa, Belyaev, Yokota 2010
• Fast O(1) bilateral filtering using trigonometric range kernels, Chaudhury, Sage, Unser 2011
• Addendum to “Fast O(1) bilateral filtering using trigonometric range kernels”, Chaudhury, Sage, Unser 2011
• Fast and Accurate Bilateral Filtering using Gauss-Polynomial Decomposition, Chaudhury 2015
• Constant-time filtering using shiftable kernels, Chaudhury
• Fast and Provably Accurate Bilateral Filtering, Chaudhury, Dabhade 2016
• Guided Image Filtering, He, Sun, Tang 2010
• Sparse Fast Fourier Transform
• Toonify: Cartoon Photo Effect Application, Dade
• Converting Color Real Image to Cartoon Image Using Non-Parametric Mean-Shift Technique, Abdulmunen 2012
• Comparing images using joint histograms, Pass, Zabih 1999
• Use of the Hough Transformation to Detect Lines and Curves in Pictures, Duda, Hart 1972
• Generalizing the Hough Transform to Detect Arbitrary Shapes, Ballard 1981
• Object Recognition with Color Cooccurrence Histograms, Chang, Krumm 1999
• Template matching using fast normalized cross correlation, Briechle, Hanebeck 2001
• Object Detection Using Feature-based Template Matching, Bianco, Buzzelli, Schettini 2013
• Rapid Object Detection using a Boosted Cascade of Simple Features, Viola, Jones 2001
• Robust Real-Time Object Detection, Viola, Jones 2001
• An Extended Set of Haar-like Features for Rapid Object Detection, Lienhart, Maydt 2002
• Robust Real-Time Face Detection, Viola, Jones 2004
• A new approach to represent Rotated Haar-like Features for Objects Detection, Mohamed Oualla, Abdelalim Sadiq, Samir Mbarki 2015
• YEF: Real-Time Object Detection, Abramson, Steux, Ghorayeb 2005
• High-Performance Rotation Invariant Multiview Face Detection, Huang, Ai, Li, Lao 2007
• Scale-invariant template matching using histogram of dominant gradients, Jisung Yoo, Sung Soo Hwang, Seong Dae Kim, Myung Seok Ki, Jihun Cha, 2014
• Robust Wide Baseline Stereo from Maximally Stable Extremal Regions, Matas, Chum, Urban, Pajdla 2002
• Linear Time Maximally Stable Extremal Regions, Nistér, Stewénius 2008
• Automatic and Accurate Lip Tracking, Eveno, Caplier, Coulon 2004
• Visual Tracking with Histograms and Articulating Blocks, Nejhum, Ho, Yang 2008
• GPU Computation Strategies & Tricks
• GPU Processing Methods for Machine Vision, Riley
• Dense Matrix Algebra on the GPU, Moravánszky 2003
• Singular Value Decomposition on GPU using CUDA, Lahabar, Narayanan 2009
• Efficient Independent Component Analysis on a GPU, Ramalho, Tomas, Sousa 2010
• A Parallel Implementation of K-Means Clustering on GPUs, Farivar, Rebolledo, Chan, Campbell 2008
• Speeding up K-Means Algorithm by GPUs, Li, Zhao, Chu, Liu 2011
• Efficient computational noise in GLSL, McEwan, Sheets, Gustavson, Richardson 2012
• Fast Summed-Area Table Generation and its Applications, Hensley, Scheuermann, Coombe, Singh, Lastra 2005
• Efficient Integral Image Computation on the GPU, Bilgic, Horn, Masaki 2010
• Efficient GPU Implementation of the Integral Histogram, Poostchi, Palaniappan, Bunyak, Becchi, Seetharaman 2012
• Improved Integral Histogram Algorithm for Big Sized Images in CUDA Environment, Won Lee, Choe 2014
• Fast Filter Spreading and its Applications, Kosloff, Hensley 2009
• Low-Cost, High-Speed Computer Vision Using NVIDIA’s CUDA Architecture, Park, Ponce, Huang, Cao, Que 2008
• Image Processing on the GPU: Implementing the Canny Edge Detection Algorithm, Roodt, Visser, Clarke 2007
• Efficient Canny Edge Detection using a GPU, Ogawa, Ito, Nakano 2010
• A Graphics Hardware Implementation of the Generalized Hough Transform for fast Object Recognition, Scale, and 3D Pose Detection, Robert Strzodka, Ivo Ihrke, Marcus Magnor 2003
• High Performance Median Filtering Algorithm Based on NVIDIA GPU Computing, Battiato 2016
• Fine-tuned high-speed implementation of a GPU-based median filter, Perrot 2013
• Efficient Histogram Generation Using Scattering on GPUs, Scheuermann, Hensley 2007
• Photoshop Healing Brush: a Tool for Seamless Cloning, Georgiev 2004
• Poisson Image Editing, Perez, Gangnet, Blake 2003
• Poisson Image Editing Extended (poster 0216), Leventhal, Gordon, Sibley 2006
• Covariant Derivatives and Vision, Georgiev 2006
• Simultaneous Matting and Compositing, Wang, Cohen 2007
• Blind Signal Separation: Statistical Principles, Cardoso 1998
• Equivariant adaptive source separation, Cardoso, Laheld 1996
• Natural Gradient works efficiently in Learning, Amari 1998
• Adaptive On-Line Learning algorithms for Blind Separation, Yang, Amari 1997
• Method for Image Source Separation by Means of Independent Component Analysis: ICA, Maximum Entory Method: MEM, and Wavelet Based Method: WBM
• K-means Recovers ICA Filters when Independent Components are Sparse, Vinnikov, Shalev-Shwartz 2014
• Blind signal separation and identification of mixtures of images, Carmo, Teixeira de Assis, Estrela, Coelho 2009
• Deterministic Annealing for Clustering, Compression, Classification, Regression and Related Optimization Problems, Rose 1998
• Improved clustering using deterministic annealing with a gradient descent technique, Qiu, Varley, Terrell 1992
• Pairwise Data Clustering by Deterministic Annealing, Hofmann, Buhmann 1996
• Use of watersheds in Contour Detection, Beucher, Lantuejoul 1979
• Generalizing Swendsen-Wang for Image Analysis, Barbu, Zhu 2007
• Some links between min-cuts, optimal spanning forests and watersheds, Allène, Audibert, Couprie, Cousty, Keriven 2007
• The watershed concept and its use in segmentation : a brief history, Meyer 2012
• Power Watershed: A Unifying Graph-Based Optimization Framework, Couprie, Grady, Najman, Talbot 2010
• SLIC Superpixels, Achanta, Shaji, Smith, Lucchi, Fua, Süsstrunk 2010
• SLIC Superpixels Compared to State-of-the-Art Superpixel Methods, Achanta, Shaji, Smith, Lucchi, Fua, Süsstrunk 2012
• SEEDS: Superpixels Extracted via Energy-Driven Sampling, Van den Bergh, Boix, Roig, Van Gool 2013
• Fast Superpixel Segmentation Using Morphological Processing Benesova, Kottman 2014
• Intrinsic Scene Properties from a Single RGB-D Image, Barron, Malik 2013
• Learning Ordinal Relationships for Mid-Level Vision, Zoran, Isola, Krishnan, Freeman 2015
• Geometric Methods in Perceptual Image Processing, Hamilton Yu-Ik Chong PhD Thesis 2008