Paper Info
Title
No-reference image quality assessment of wavelet coded images
Abstract
In the modern era of Internet, many user-end applications require the estimation of quality of images directly from the bitstreams, as the original image may not be available. This is a challenging issue. In this paper, we propose a novel approach of no-reference (NR) objective quality assessment of wavelet coded images. The proposed method is based on estimation of the contribution of each received bit in an embedded bitstream in the reduction of mean-square error (MSE), assuming initial image with all zero pixel values. Mathematical analysis is carried out to estimate the quantization errors in terms of MSE reduction, in wavelet-based SPIHT coding algorithm. The simulation results demonstrate the effectiveness of the proposed method.
Year
DOI
Venue
2010
10.1109/ICIP.2010.5652155
Image Processing
Keywords
Field
DocType
Internet,image coding,mean square error methods,wavelet transforms,Internet,embedded bitstream,mean square error method,no reference image quality assessment,quantization error estimation,wavelet coded image,MSE,No-reference quality estimation,PSNR,SPIHT,wavelet transform
Computer vision,Set partitioning in hierarchical trees,Pattern recognition,Computer science,Image quality,Artificial intelligence,Pixel,Decoding methods,Bitstream,Quantization (signal processing),Wavelet,Wavelet transform
Conference
ISSN
ISBN
Citations 
1522-4880 E-ISBN : 978-1-4244-7993-1
978-1-4244-7993-1
0
PageRank 
References 
Authors
0.34
5
4
Name
Order
Citations
PageRank
Mohd. Haroon Khan100.34
Athar Ali Moinuddin252.78
E. Khan35612.71
Mohammed Ghanbari41197169.16