[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Morel et al., 2010 - Google Patents

A PDE formalization of Retinex theory

Morel et al., 2010

View PDF
Document ID
10787627711817003249
Author
Morel J
Petro A
Sbert C
Publication year
Publication venue
IEEE Transactions on Image Processing

External Links

Snippet

In 1964, Edwin H. Land formulated the Retinex theory, the first attempt to simulate and explain how the human visual system perceives color. His theory and an extension, the “reset Retinex” were further formalized by Land and McCann. Several Retinex algorithms …
Continue reading at ni.cmu.edu (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G06T5/001—Image restoration
    • G06T5/002—Denoising; Smoothing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20048—Transform domain processing
    • G06T2207/20056—Discrete and fast Fourier transform, [DFT, FFT]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10024—Color image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20172—Image enhancement details
    • G06T2207/20182—Noise reduction or smoothing in the temporal domain; Spatio-temporal filtering
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G06T5/007—Dynamic range modification
    • G06T5/008—Local, e.g. shadow enhancement
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20112—Image segmentation details
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G06T5/001—Image restoration
    • G06T5/003—Deblurring; Sharpening
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G06T5/20—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image by the use of local operators
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/40—Analysis of texture
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions

Similar Documents

Publication Publication Date Title
Morel et al. A PDE formalization of Retinex theory
Agrawal et al. A novel joint histogram equalization based image contrast enhancement
Chen et al. Blind image deblurring with local maximum gradient prior
Fu et al. A probabilistic method for image enhancement with simultaneous illumination and reflectance estimation
Vishwakarma et al. Image fusion using adjustable non-subsampled shearlet transform
Ma et al. An L 1-based variational model for Retinex theory and its application to medical images
Fu et al. A weighted variational model for simultaneous reflectance and illumination estimation
Li et al. SURE-based optimization for adaptive sampling and reconstruction
Kimmel et al. A variational framework for retinex
Saladi et al. Analysis of denoising filters on MRI brain images
Islam et al. Image enhancement based medical image analysis
Wang et al. New insights into multi-focus image fusion: A fusion method based on multi-dictionary linear sparse representation and region fusion model
Hou et al. Image enhancement and restoration: state of the art of variational retinex models
Huang et al. A robust deblurring algorithm for noisy images with just noticeable blur
Shukla et al. Adaptive fractional masks and super resolution based approach for image enhancement
Hanika et al. Edge‐Optimized À‐Trous Wavelets for Local Contrast Enhancement with Robust Denoising
Lei et al. An investigation of retinex algorithms for image enhancement
Azzabou et al. Variable bandwidth image denoising using image-based noise models
Raj et al. Denoising of medical images using total variational method
Zhuang et al. Image enhancement using divide-and-conquer strategy
Zhang et al. A robust structure and texture aware model for image Retinex
Liu et al. Image smoothing via gradient sparsity and surface area minimization
Chen et al. A novel low-light enhancement via fractional-order and low-rank regularized retinex model
Ma et al. Low-light image enhancement via implicit priors regularized illumination optimization
Judson et al. Efficient and robust non-local means denoising methods for biomedical images