A simulation of image transmission: error control coding combined with wavelet-based image compression

2002 ◽  
Author(s):  
S. Kohiyama ◽  
H. Natori ◽  
S.-H. Joo ◽  
S. Sasaki ◽  
H. Kikuchi
Keyword(s):  
Image Compression ◽  
Error Control ◽  
Image Transmission ◽  
Transmission Error ◽  
Error Control Coding

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.

Differential Image Compression for Telemedicine: A Novel Approach

2015 ◽  
Vol 1 (1) ◽  
Author(s):  
Adnan Alam Khan ◽  
Dr. Asadullah Shah ◽  
Saghir Muhammad
Keyword(s):  
Image Compression ◽  
Medical Information ◽  
Emerging Technologies ◽  
Medical Images ◽  
Image Transmission ◽  
Medical Doctors ◽  
Medical Sciences ◽  
Compression Method ◽  
Paramedical Staff ◽  
Novel Approach

Telemedicine is one of the most emerging technologies of applied medical sciences. Medical information related to patients is transmitted and stored for references and consultations. Medical images occupy huge space; in order to transmit these images may delay the process of image transmission in critical times. Image compression techniques provide a better solution to combat bandwidth scarcity problems, and transmit same image in a much lower bandwidth requirements, more faster and at the same time maintain quality. In this paper a differential image compression method is developed in which medical images are taken from a wounded patient and are compressed to reduce the bit rate of these images. Results indicate that on average 25% compression on images is achieved with 3.5 MOS taken from medical doctors and other paramedical staff the ultimately user of the images.

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