来自西弗吉利亚大学li xin整理的CV代码合集
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Reproducible Research in Computational Science
“It doesn't matter how beautiful your theory is, it doesn't matter how smart you are. If it doesn't agree with experiment, it's wrong” - Richard Feynman
"As a method for finding things out, science lives by its disdain for authority and its reliance on experimentation." - Chris Quigg
Welcome to this site about reproducible research in computational science (including signal processing, computer vision, machine learning and neural computation). This site is intended to share the source codes of the latest advances in various technical fields to the best of my knowledge. Only throughReproducible Research (RR), can we live up to the standard that hard-core science has established since Bacon and Newton. If you know of any release of the source codes that is missing from the list or any broken link, please kindly let me know.
Image denoising
- Bayesian Structured Sparse Coding (BSSC)
- Wavelet-based soft/hard thresholding and TI denoising Wavelab
- Spatially adaptive image denoising under overcomplete expansion SA-OE
- Low-complexity image denoising based on statistical modeling of wavelet coefficients code
- Bayesian Least-Square Gaussian Scalar Mixture BLS-GSM
- Wavelet-domain HMM for image denoising WHMT
- Fields of experts model for image denoising FoE
- Learning sparse representation for image denoising K-SVD
- Shape adaptive DCT based image denoising SA-DCT
- Nonlocal mean based image denoising code code2
- Block matching 3D (BM3D) image denoising BM3D
- Product of Edgeperts denoising PoEdges
- Total Least-Square (TLS) image denoising TLS
- AVMF color image denoising AVMF
- Multiscle LMMSE-based image denoising code
- Kernel regression based image denoising code
- Belief propagation for image restoration code
- Gaussian Field-of-Expert (GFoE) denoising code
- Active random field learning code
-
Clustering-based Denoising using Locally Learned Dictionaries (K-LLD)
- Local Pixel Grouping (LPG)-PCA image denoising
- Leaning simultaneous sparsity coding (LSSC) code (only runs on 64-bit Linux machine with MATLAB)
- BM3D image denoising with shape - adaptive principal component analysis (BM3D-SAPCA) code
- Learning Non-Local Range Markov Random Field for Image Restoration code
- Image denoising via dictionary learning and structural clustering
- From Learning Models of Natural Image Patches to Whole Image Restoration code
- Image denoising: Can plain Neural Networks compete with BM3D?
- Patch-based Locally Optimal Wiener Filtering for Image Denoising
- Nonparametric Bayesian Dictionary Learning for Analysis of Noisy and Incomplete Images code
- Spatially adaptive iterative singular-value threshodlign (SAIST) code
- Image Denoising using the Higher Order Singular Value Decomposition code
- Dual-Domain Image Denoising code
- Bayesian Structured Sparse Coding (BSSC)
Image coding
- JPEG-LS standardLOCO-I
- Context-Based, Adaptive, Lossless Image Coding CALIC
- Edge directed prediction for lossless image compression EDP
- TMW lossless image compression Download Code (lost in cyberspace)
- Minimum rate prediction with DP-based optimization Code
- Embedded Predictive Wavelet Image Coder Code
- SPIHT image codec SPIHTMATLAB codes (third-party implementation)
- Estimation Quantization lossy image codec EQ
- Least-Square Estionation Quantization Codec LS-EQ
- EBCOT codec for JPEG2000 EBCOT
- Multiple description coding with prediction compensationcode
- Multiple description image coding based on lagrangian rate allocation code
Image demosaicing
- Primary-consistent soft-decision (PCSD)-based schemeexecutable
- Alternate projection (AP)-based scheme AP
- Adaptive Homogeneity-Directed (AHD) demosaicing AHD
- DLMMSE demosaicing DLMMSE
- Demosaicing by successive approximation SA
- Demosaicing by directional filtering and a posteriori decision dfapd
- LPA-ICI demosaicing LPA-ICI
- A Model of Retinal Local Adaptation for the Tone Mapping of Color Filter Array Images
- Leaning simultaneous sparsity coding (LSSC) code (only runs on 64-bit Linux machine with MATLAB)
- PCA-based Spatially Adaptive Denoising of CFA Images for Single-Sensor Digital Cameras code
- Self-similarity driven image demosaicing
- Color Demosaicking by Local Directional Interpolation and Non-local Adaptive Thresholding code
- Residual Interpolation for color image demosaicking
- Vector-Valued Image Processing by Parallel Level Sets
Image interpolation and Superresolution
- Linear interpolation revitalized
- New edge directed interpolation (NEDI) code
- Signal Discrete Sinc-interpolation in DCT Domain code
- Directional filtering and data fusion DFDF
- Wavelet-based texture image interpolation wt_interp
- Fast and robust superresolution (SR) toolbox UCSC-SR
- Superresolution for synthetic zooming syn_zoom
- EPFL's frequency-domain approach EPFL
- Support vector machine based image superresolution result
- Image interpolation using multiscale geometric representations Code
- Kriging-based Best Linear Unbiased Estimator Code
- Image interpolation by adaptive 2D autoregressive modeling and soft-decision estimation Executable
- Super-resolution GUI developed by Bahadir at LSU
- Multi-frame image super-resolution
- Super-resolution via sparse coding code
- Super-resolution through neighbor embedding code
- Super-resolution with sparse mixing estimators
- Machine learning in multi-frame SR
- Example-based learning for super-resolution
- Super Resolution using Edge Prior and Single Image Detail Synthesis code
- Binary halftone image resolution increasing by decision tree learning
- Simultaneous motion deblurring and super-resolution
- Exploiting Self-Similarities for Single Frame Super-Resolution code
- Fast image/video upsampling (binary executables only)
- Image deblurring and supper-resolution by adaptive sparse domain selection and adaptive regularization code
- Image and video upsampling from local self-examples code(third-party implementation)
- Semi-Coupled Dictionary Learning with Applications to Image Super-resolution and Photo-Sketch Synthesis
- Sparse Representation based Image Interpolation with Nonlocal Autoregressive Modeling
- Structured Face Hallucination code
- Anchored Neighborhood Regression for Fast Example-Based Super-Resolution code
RGBD image processing
- Indoor Segmentation and Support Inference from RGBD Images
- Unsupervised Feature Learning for RGB-D Based Object Recognition
- Image Guided Depth Map Upsampling
Image segmentation/parsing and matting
- Image segmentation by normalized cut Ncut
- Epitome-based image segmentation epitome
- Bayesian multiscale image segmentation SMAP
- Graph-cut Based Image Segmentation segment Code2
- EDISON System EDISON Code2
- Pfinder system Pfinder
- A closed form solution to image matting matting
- Spectral matting code
- Level set evolution without reinitialization Code
- Implicit active contour driven by local binary fitting energy Code
- Snakes, Shapes, and Gradient Vector Flow Code
- Unsupervised learning of finite mixture model Code
- DDMCMC Image Segmentation
- Image Segmentation by Generalized SW-cuts
- A generalized model for scratch detection
- Biased normalized cut
- Power Watersheds (iccv'2009) code
- Global contrast based salient region detection
- Generalizing Swendsen-Wang to sampling arbitrary posterior probabilities code
- Interactive segmentation toolbox (GrabCut+LazySnap)
- Geodesic Star Convexity for Interactive Image Segmentation
- Distributed Cosegmentation via Submodular Optimization on Anisotropic Diffusion code
- Segmenting Scenes by Matching Image Composites
- Automatic Image Segmentation by Dynamic Region Mergingcode
- Interactive Images: Cuboid Proxies for Smart Image Manipulation
- Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
- Image Segmentation with Cascaded Hierarchical Models and Logistic Disjunctive Normal Networks code
- 深度学习三十问！一位算法工程师经历30+场CV面试后总结的常见问题合集（含答案）...