Results 21 to 30 of about 1,447,541 (185)
Adaptive pre-filtering techniques for colour image analysis [PDF]
, 2007 One important step in the process of colour image segmentation is to reduce the errors caused by image noise and local colour inhomogeneities. This can be achieved by filtering the data with a smoothing operator that eliminates the noise and the ...
Ilea, Dana E., Whelan, Paul F.
core +2 more sources
Wire Suspended Robot Monitoring Image Denoising Algorithm Based on Encoding with Sparse Representation [PDF]
Jisuanji gongcheng, 2017 The actual wire suspended robot monitoring image is usually corrupted by the mixed noise in practical applications.This paper proposes a mixed noise image denoising algorithm for the mixed noise removal.The image consists of Additive White Gaussian Noise(
CHEN Pengxu,LIN Maosong,LIANG Yanyang,LIU Hongwei
doaj +1 more source
Quantum Noise in Multipixel Image Processing [PDF]
, 2004 We consider the general problem of the quantum noise in a multipixel measurement of an optical image. We first give a precise criterium in order to characterize intrinsic single mode and multimode light.
A. K. Jain +11 more
core +3 more sources
A proximal iteration for deconvolving Poisson noisy images using sparse representations [PDF]
, 2008 We propose an image deconvolution algorithm when the data is contaminated by Poisson noise. The image to restore is assumed to be sparsely represented in a dictionary of waveforms such as the wavelet or curvelet transforms.
Dupé, François-Xavier +2 more
core +5 more sources
RTS noise impact in CMOS image sensors readout circuit [PDF]
, 2010 CMOS image sensors are nowadays widely used in imaging applications even for high end applications. This is really possible thanks to a reduction of noise obtained, among others, by Correlated Double Sampling (CDS) readout.
Magnan, Pierre +1 more
core +1 more source
Mixed Noise Removal Using Adaptive Median Based Non-Local Rank Minimization
IEEE Access, 2021 In this paper, we present an innovative mechanism for image restoration problems in which the image is corrupted by a mixture of additive white Gaussian noise (AWGN) and impulse noise (IN). Mixed noise removal is much more challenging problem in contrast
Dai-Gyoung Kim +5 more
doaj +1 more source
Speckle Noise Reduction and Image Segmentation Based on a Modified Mean Filter
Computer Assisted Methods in Engineering and Science, 2020 Image segmentation is an essential process in many fields involving digital images. In general, segmentation is the process of dividing the image into objects and background image. Image segmentation is an important step in the object detection process.
P. Arulpandy, M. Trinita Pricilla
doaj +1 more source
Edge detection algorithm of noisy image based on artificial neural network
Xi'an Gongcheng Daxue xuebao, 2021 In order to improve the edge performance of the noisy image, based on the analysis of the image edge noise, the artificial neural network was used to respond and identify the noise, and then all the noise data were obtained, and the noise was filtered ...
Xuejing MA, Wenhuan WANG, Guowei LIU
doaj +1 more source
Low rank prior in single patches for non-pointwise impulse noise removal [PDF]
, 2015 This paper introduces a low rank prior in small oriented noise-free image patches: Considering an oriented patch as a matrix, a low-rank matrix approximation is enough to preserve the texture details in the optimally oriented patch.
Pakleppa, Markus +2 more
core +3 more sources
Improved Image Filtering Algorithm Based on Mean Shift [PDF]
Jisuanji gongcheng, 2016 The image filtering experiment shows that the traditional Mean Shift(MS) algorithm regards noise pixel as image edge,so that the noise pixel is retained.Aiming at this problem,the paper designs a new simplified bilateral filtering method(ANBF),which is ...
LIN Junjie,JIANG Xinhua,HU Rong,ZHENG Jishi
doaj +1 more source