Pointwise Shape-Adaptive DCT for High-Quality Denoising and Deblocking of Grayscale and Color Images
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- Type
- article
- Published
- 2007-05-01
- Cited by
- 789
- References
- 56
- OpenAlex
- https://openalex.org/W2135065661
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:1151947
Keywords
Discrete cosine transform, Artificial intelligence, Computer vision, Mathematics, Pointwise
References
- POINTWISE SHAPE-ADAPTIVE DCT AS AN OVERCOMPLETE DENOISING TOOL
- Ideal spacial adaptation via wavelet shrinkage
- On Spatial Adaptive Estimation of Nonparametric Regression
- A novel anisotropic local polynomial estimator based on directional multiscale optimizations
- POINTWISE SHAPE-ADAPTIVE DCT DENOISINGWITH STRUCTURE PRESERVATION IN LUMINANCE-CHROMINANCE SPACE
- Weighted overcomplete denoising
- Adaptive Window Size Image De-noising Based on Intersection of Confidence Intervals (ICI) Rule
- Shape-adaptive DCT with block-based DC separation and ΔDC correction
- Anisotropic local approximations for pointwise adaptive signal-dependent noise removal
- Directional varying scale approximations for anisotropic signal processing
- Region and object segmentation algorithms in the Qimera segmentation platform
- Local polynomial modelling and its applications
- Coding of arbitrarily shaped video objects in MPEG-4
- Region-oriented transform coding (ROTC) of images
- Projection-based spatially adaptive reconstruction of block transform compressed images
- An optimal adder-based hardware architecture for the DCT/SA-DCT
- Low complexity shape-adaptive DCT for coding of arbitrarily shaped image segments
- Coefficient grouping method for shape-adaptive DCT
- Comment on "Shape-adaptive DCT for generic coding of video"
- Coding of arbitrarily shaped image segments based on a generalized orthogonal transform
Cited by
- Image Noise Level Estimation by Principal Component Analysis
- CONCOLOR: Constrained Non-Convex Low-Rank Model for Image Deblocking
- Distributed source coding: New tools and application to video compression. (Codage de sources distribuées : nouveaux outils et application à la compression vidéo)
- Image enhancement by wavelet-based thresholding neural network with adaptive learning rate
- Adaptive Edge-guided Block-matching and 3D filtering (BM3D) Image Denoising Algorithm
- Bivariate shrinkage denoising method based on variable parameter bivariate model: Bivariate shrinkage denoising method based on variable parameter bivariate model
- Uncovering vein patterns from color skin images for personal identification in forensic investigation
- Les tubes de mouvement : nouvelle représentation pour les séquences d'images. (Motion tubes: a new representation for image sequences)
- FPGA based noise reduction in video cameras
- Approches bayésiennes pour le débruitage des images dans le domaine des transformées multi-échelles parcimonieuses orientées et non orientées. (Bayesian approaches for image denoising in the oriented and non oriented parcimony multi-scale transformations)
- Dual-Domain Filtering
- Exact Unbiased Inverse of the Anscombe Transformation and its Poisson-Gaussian Generalization
- Block-based Collaborative 3-D Transform Domain Modeling in Inverse Imaging
- BM3D Image Denoising with Shape-Adaptive Principal Component Analysis
- An Algorithm for Improving Non-Local Means Operators via Low-Rank Approximation
- Hyperspectral Image Classification via Sparse Code Histogram
- Efficient Learning-based Image Enhancement : Application to Compression Artifact Removal and Super-resolution
- Simultaneous Sparse Graph Embedding for Hyperspectral Image Classification
- Signal-dependent noise removal in pointwise shape-adaptive DCT domain with locally adaptive variance
- Sparse modelling of natural images and compressive sensing
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- POINTWISE SHAPE-ADAPTIVE DCT AS AN OVERCOMPLETE DENOISING TOOL