scholarly journals An Application of Digital Image Restoration Techniques to Error Control Coding

10.5772/36181 ◽  
2012 ◽  
Author(s):  
Pl Ellingsen
Keyword(s):  
Image Restoration ◽  
Digital Image ◽  
Error Control ◽  
Error Control Coding ◽  
Restoration Techniques

Image Restoration using Recent Techniques: A Survey

2021 ◽  
pp. 13050-13062
Author(s):  
Mrs. Poonam Y. Pawar, Dr. Bharati Sanjay Ainapure
Keyword(s):  
Image Processing ◽  
Image Restoration ◽  
Digital Image ◽  
Medical Science ◽  
Computer Algorithms ◽  
Original Image ◽  
Performance Improvements ◽  
Restoration Techniques ◽  
Degraded Image ◽  
Recent Trends

Image Restoration is one of the challenging and essential milestones in the image processing domain. Digital image processing is a technique for manipulating digital images using a variety of computer algorithms. The process of transforming the degraded or damaged image to the original image can be known as Image Restoration. The image restoration process improves image quality by converting the degraded image into the original clean image. The techniques for image restoration are comprised of predefined parameters through which digital image gets processed for refinements. The purpose of restoration is to start with the acquired image and then estimate the original image as accurately as possible. A degraded image can be contaminated by any of a blur or noise or both. Many factors can contribute to image degradation, including poor capture, poor lighting, and poor eyesight. Medical science, defensive sensor systems, forensic detections, and astrology all rely on image restoration for accuracy. This paper discusses various image restoration techniques using recent trends for performance improvements.

A New Approach in Digital Image Compression Using Unequal Error Protection (UEP)

2014 ◽  
Vol 704 ◽  
pp. 403-407
Author(s):  
Okuwobi Idowu Paul ◽  
Yong Hua Lu
Keyword(s):  
Image Compression ◽  
Compressive Sensing ◽  
Digital Image ◽  
Error Control ◽  
Unequal Error Protection ◽  
Error Protection ◽  
Error Control Coding ◽  
New Approach ◽  
Digital Image Compression ◽  
Transform Domains

This paper proposes a new algorithms for compression of digital images especially at the encoding stage of compressive sensing. The research consider the fact that a certain region of a given imagery is more important in most applications. The first algorithm proposed for the encoding stage of Compressive Sensing (CS) exploits the known structure of transform image coefficients. The proposed algorithm makes use of the unequal error protection (UEP) principle, which is widely used in the area of error control coding. The second algorithm which exploits the UEP principle to recover the more important part of an image with more quality while the rest part of the image is not significantly degraded. The proposed algorithm shown to be successful in digital image compression where images are represented in the spatial and transform domains. This new algorithm were recommended for use in image compression.

Sign in / Sign up

Export Citation Format

Share Document