Nothing Special   »   [go: up one dir, main page]

Zhu et al., 2012 - Google Patents

Application of Improved Median Filter on Image Processing.

Zhu et al., 2012

View PDF
Document ID
5194900461688004922
Author
Zhu R
Wang Y
Publication year
Publication venue
J. Comput.

External Links

Snippet

Median filter is the most common method of clearing image noise. This paper proposes improved algorithm of median filter to remove sale and pepper noise of image. According to the characteristics of salt and pepper noise, the algorithm detects image noise, and …
Continue reading at scholar.archive.org (PDF) (other versions)

Classifications

    • 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
    • G06T5/001—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
    • G06T2207/20—Special algorithmic details
    • G06T2207/20172—Image enhancement details
    • G06T2207/20192—Edge enhancement; Edge preservation
    • 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
    • G06T2207/20064—Wavelet transform [DWT]
    • 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
    • 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
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20004—Adaptive 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
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20016—Hierarchical, coarse-to-fine, multiscale or multiresolution image processing; Pyramid transform
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis

Similar Documents

Publication Publication Date Title
Zhu et al. Application of Improved Median Filter on Image Processing.
Smolka Peer group switching filter for impulse noise reduction incolor images
Darus et al. Modified hybrid median filter for removal of low density random-valued impulse noise in images
Ramadan Efficient restoration method for images corrupted with impulse noise
Gao An adaptive median filtering of salt and pepper noise based on local pixel distribution
Vishaga et al. A survey on switching median filters for impulse noise removal
Lu et al. Removal of salt-and-pepper noise for X-ray bio-images using pixel-variation gain factors
Thirilogasundari et al. Fuzzy based salt and pepper noise removal using adaptive switching median filter
KR20170040983A (en) Method and apparatus of image denoising using multi-scale block region detection
Agrawal et al. A survey of linear and non-linear filters for noise reduction
Odat et al. Image denoising by comprehensive median filter
Gao et al. A two-stage shearlet-based approach for the removal of random-valued impulse noise in images
Rubel et al. Prediction of Despeckling Efficiency of DCT-based filters Applied to SAR Images
Gao et al. An efficient three-stage approach for removing salt & pepper noise from digital images
Choppala et al. Isolated vector median filtering for noise reduction in digital color images
Lin A nonlocal means based adaptive denoising framework for mixed image noise removal
Suganthi et al. Comparative study of various impulse noise reduction techniques
Manivel et al. A Comparative Study of Impulse Noise Reduction in Digital Images for Classical and Fuzzy Filters
Hemalatha Image denoising and deblurring using non-local means algorithm in monochrome images
Rani et al. Adaptive window-based filter for high-density impulse noise suppression
Mehta et al. Fuzzy based median filter for gray-scale images
Zhu et al. Application of Weighted Mean Filter Based on Local Histogram to Image Processing.
Gao An improved adaptive median filtering algorithm for removing salt and pepper noise
Harale et al. Analyze performance of median filter and center weighted median filter for efficient removal of impulse noise using ARM
Mane et al. Design and implementation of median filter for image denoising