A fast preview restoration algorithm for space-variant degraded images

2016 ◽  
Author(s):  
Victor Karnaukhov ◽  
Vitaly Kober
Keyword(s):  
Restoration Algorithm ◽  
Degraded Images ◽  
Space Variant

Measurement of space variant PSF and its application to restoring severely degraded images

2007 ◽  
Author(s):  
Tadashi Ito ◽  
Rutsuko Ichikawa ◽  
Ryotaro Koishi ◽  
Yusaku Fujii ◽  
Naoya Ohta ◽  
...  
Keyword(s):  
Degraded Images ◽  
Space Variant

A Splicing Method of Sectioned Restoration Algorithm for Images with Space-Variant Point Spread Function

2009 ◽  
Vol 29 (3) ◽  
pp. 648-653 ◽  
Author(s):  
陶小平 Tao Xiaoping ◽  
冯华君 Feng Huajun ◽  
雷华 Lei Hua ◽  
李奇 Li Qi ◽  
徐之海 Xu Zhihai
Keyword(s):  
Point Spread Function ◽  
Point Spread ◽  
Restoration Algorithm ◽  
Spread Function ◽  
Space Variant

Application of the Restoration Algorithm of Cutting Tool Images Based on Fuzzy Theory to Monitor Tool Wear Condition

2006 ◽  
Vol 315-316 ◽  
pp. 324-328 ◽  
Author(s):  
Ya Liang Wang ◽  
Shi Ming Ji ◽  
Yi Xie ◽  
X.J. Lan ◽  
Jian Sha Lu ◽  
...  
Keyword(s):  
Tool Wear ◽  
Cutting Tool ◽  
Fuzzy Theory ◽  
Cutting Tools ◽  
Function Model ◽  
Restoration Algorithm ◽  
Wear Monitoring ◽  
Degraded Images ◽  
Wear Condition ◽  
The Membership Function

The tool wear monitoring system based on the image processing and computer vision has better study value and foreground. During the cutting, the cutting tool is always at the movement state, thus, the real-time collected sequence images by CCD sensor are blurred with noise. As a result, we have to confront the problem how to get the high quality images, which is researched by this paper. The paper analyzes the reasons which causing the image blurred, brings forward a degradation function model and finds the degradation of tool wear images dues to the relative movement. According to this function model and combined with the application of fuzzy theory, the restoration algorithm is obtained. The membership function dealing with degraded images of cutting tools is put forward. It turns out that the images restored by this fuzzy restoration algorithm reach our aim.

A Novel Image Contrast Restoration Algorithm for Fog

2013 ◽  
Vol 709 ◽  
pp. 534-537
Author(s):  
Hui Xian Lv ◽  
Zhi Gang Zhao ◽  
Yan Feng Xu
Keyword(s):  
Image Restoration ◽  
Histogram Equalization ◽  
Low Contrast ◽  
Filtering Method ◽  
Restoration Algorithm ◽  
Homomorphic Filtering ◽  
Degraded Image ◽  
Soft Threshold ◽  
Degraded Images ◽  
Novel Algorithm

Images captured in fog suffer from low contrast, restoration of fog- degraded images are needed. In this paper, a novel algorithm of image restoration based on wavelet semi-soft threshold is presented. The results show detail restoration and de-noising are improved effectively comparing with Histogram equalization and homomorphic filtering method. It can be concluded that the new algorithm enhanced the contrast of fog-degraded image well.

Measurement of Space Variant PSF for Restoring Degraded Images by Security Cameras

2006 ◽  
Author(s):  
Tadashi Ito ◽  
Yusaku Fujii ◽  
Naoya Ohta ◽  
Saburou Saitoh ◽  
Tsutomu Matsuura ◽  
...  
Keyword(s):  
Degraded Images ◽  
Space Variant
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