Reduced-reference image quality assessment using distributed source coding

This paper presents a reduced-reference image quality assessment scheme using distributed source coding for remotely monitoring image quality. In our scheme, an image server extracts a feature vector from the original image and transmits its Slepian-Wolf syndrome using an LDPC encoder. With the rate...

Full description

Saved in:
Bibliographic Details
Published in2008 IEEE International Conference on Multimedia and Expo pp. 609 - 612
Main Authors Chono, K., Yao-Chung Lin, Varodayan, D., Miyamoto, Y., Girod, B.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2008
Subjects
Decoding
Distributed source coding
Feature extraction
Image coding
Image quality
Image quality assessment
LDPC codes
PSNR
Source coding
Transform coding
Online AccessGet full text

Cover

More Information
Summary:This paper presents a reduced-reference image quality assessment scheme using distributed source coding for remotely monitoring image quality. In our scheme, an image server extracts a feature vector from the original image and transmits its Slepian-Wolf syndrome using an LDPC encoder. With the rate of the Slepian-Wolf bitstream chosen according to a predetermined admissible image quality, the receiver can reconstruct the feature vector using its received image, as side information, as long as the quality is higher than the admissible quality. Thus the receiver can determine the received image quality using the reconstructed feature vector. Simulation results show that distributed source coding can reduce the bit-rate of the feature vector by 50% and achieve better compression performance than conventional source coding.
ISBN:1424425700
9781424425709
ISSN:1945-7871
1945-788X
DOI:10.1109/ICME.2008.4607508