Restoration algorithm of aero-optical degraded images using nonlinear regularization optimization

2007 ◽  
Author(s):  
Hanyu Hong
Keyword(s):  
Restoration Algorithm ◽  
Nonlinear Regularization ◽  
Degraded Images

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.

scholarly journals A Unit Plane Edge on-off Slope Algorithm Based Fast LTVR Res-toration Analysis

2018 ◽  
Vol 7 (4.20) ◽  
pp. 27 ◽  
Author(s):  
K. Praveen Kumar ◽  
C. Venkata Narasimhulu ◽  
K. Satya Prasad
Keyword(s):  
Research Work ◽  
Noisy Image ◽  
High Noise ◽  
Restoration Algorithm ◽  
Image Edge ◽  
Simulation Results ◽  
Restoration Method ◽  
Degraded Images ◽  
Regularized Method ◽  
Denoised Image

This research paper presents a Fast LTVR (Localized Total Variation Regularized) method for restoring the degraded images by white noise, while preserving the image edge details in a constructed unit plane edge model through a Unit Plane Edge ON-OFF Slope algorithm. The noisy image contains two details; one with high noise and the other with edge fined details. The edge fine details are restored using ON-OFF Slope algorithm. The denoised image and the edge fine details are used to reconstruct the final restored image. A Unit Plane Edge restoration method is proposed in this research work to estimate the edge-mapping with the fine details. Simulation results of proposed work shows an effective image restoration algorithm comparatively with different filter based restoration methods.    

Sign in / Sign up

Export Citation Format

Share Document