Results 91 to 100 of about 9,413,043 (217)

Edge based Blind Single Image Deblurring with Sparse Priors

, 2017
International audienceBlind image deblurring is the estimation of the blur kernel and the latent sharp image from a blurry image. This makes it a significant ill-posed problem with various investigations looking for adequate solutions.
Rim Walha, Lebourgeois, Frank, Fadoua Drira, Frank LeBourgeois, Khouloud Guemri, Adel M. Alimi, Walha, Rim, Guemri, Khouloud, Alimi, Adel, Drira, Fadoua   +9 more
core   +1 more source

Stochastic Blind Motion Deblurring [PDF]

, 2015
Blind motion deblurring from a single image is a highly under-constrained problem with many degenerate solutions. A good approximation of the intrinsic image can therefore only be obtained with the help of prior information in the form of (often non ...
Heide, Felix, Gregson, James, Xiao, Lei, Heidrich, Wolfgang   +3 more
core   +1 more source

Image Deblurring Method with Fractional-order Total Variation and Adaptive Regularization Parameters

工程科学与技术, 2018
In order to better recovery texture details of images, avoid the difficulty of selecting the regularization parameters when solving the image deblurring model, a novel non-blind image deblurring method by using fractional order TV (FOTV) and adaptive ...
Xiaomei YANG, Yuqing XIANG, Yanan LIU, Xiujuan ZHENG   +3 more
doaj  

Blind image deblurring using spectral properties of convolution operators

, 2014
Blind deconvolution is to recover a sharp version of a given blurry image or signal when the blur kernel is unknown. Because this problem is ill-conditioned in nature, effectual criteria pertaining to both the sharp image and blur kernel are required to ...
Liu, Guangcan, Ma, Yi, Chang, Shiyu
core   +1 more source

Blind Deblurring via a Novel Recursive Deep CNN Improved by Wavelet Transform

IEEE Access, 2018
Blind image deconvolution is an ill-posed problem, which is mainly addressed by the regularization methods. Wavelet transform is an effective denoising method related to regularized inversion. In this paper, wavelet transform is utilized to decompose and
Chao Min, Guoquan Wen, Binrui Li, Feifei Fan   +3 more
doaj   +1 more source

Mitigating the effects of atmospheric distortion using DT-CWT fusion [PDF]

, 2012
This paper describes a new method for mitigating the effects of atmospheric distortion on observed images, particularly airborne turbulence which degrades a region of interest (ROI).
Bull, David, Alin Achim, Anantrasirichai, N, Kingsbury, Nick, Achim, Alin M, N. Anantrasirichai, Nick Kingsbury, David Bull   +7 more
core   +1 more source

Patch-Wise Blind Image Deblurring Via Michelson Channel Prior

IEEE Access, 2019
Motion blur exists in many computer vision tasks, including faces, texts, and low-illumination images etc. It has been proved that Dark Channel Prior (DCP) and Bright Channel Prior (BCP) can both help the image deblurring by enhancing the dark or bright ...
Guoquan Wen, Chao Min, Zeyun Jiang, Zhaozhong Yang, Xiaogang Li   +4 more
doaj   +1 more source

Quantitative comparisons among blind deblurring methods.

, 2018
Quantitative comparisons among blind deblurring methods.
Houjie Li (4918960), Shengyang Luan (4918963), Haiyu Song (4918954), Tianshuang Qiu (4918966), Linxiu Wu (4918957)   +4 more
core   +1 more source

Blind Deblurring Using Internal Patch Recurrence [PDF]

, 2014
. Recurrence of small image patches across different scales of a natural image has been previously used for solving ill-posed problems (e.g., superresolution from a single image).
Tomer Michaeli, Michal Irani
core   +1 more source

FPGA-Based Real-Time Deblurring and Enhancement for UAV-Captured Infrared Imagery

Remote Sensing
In response to the inherent limitations of uncooled infrared imaging devices and the image degradation caused by UAV (Unmanned Aerial Vehicle) platform motion, resulting in low contrast and blurred details, a novel single-image blind deblurring and ...
Jianghua Cheng, Lehao Pan, Tong Liu, Bang Cheng, Yahui Cai   +4 more
doaj   +1 more source