Paper Info
Title
RRED indices: reduced reference entropic differencing for image quality assessment.
Abstract
We study the problem of automatic "reduced-reference" image quality assessment (QA) algorithms from the point of view of image information change. Such changes are measured between the reference- and natural-image approximations of the distorted image. Algorithms that measure differences between the entropies of wavelet coefficients of reference and distorted images, as perceived by humans, are designed. The algorithms differ in the data on which the entropy difference is calculated and on the amount of information from the reference that is required for quality computation, ranging from almost full information to almost no information from the reference. A special case of these is algorithms that require just a single number from the reference for QA. The algorithms are shown to correlate very well with subjective quality scores, as demonstrated on the Laboratory for Image and Video Engineering Image Quality Assessment Database and the Tampere Image Database. Performance degradation, as the amount of information is reduced, is also studied.
Year
DOI
Venue
2012
10.1109/TIP.2011.2166082
IEEE Transactions on Image Processing
Keywords
Field
DocType
distorted image,quality computation,reduced reference entropic differencing,video engineering image,subjective quality score,rred indices,image quality assessment,quality assessment database,image information change,full information,tampere image,entropy difference,algorithm design,algorithm design and analysis,signal processing,image processing,wavelet transforms,entropy,approximation algorithms,visualization,databases,image quality
Computer vision,Approximation algorithm,Algorithm design,Pattern recognition,Computer science,Visualization,Image processing,Image quality,Artificial intelligence,Wavelet transform,Computation,Wavelet
Journal
Volume
Issue
ISSN
21
2
1941-0042
Citations 
PageRank 
References 
110
3.44
17
Authors
2
Search Limit
100110
Name
Order
Citations
PageRank
Rajiv Soundararajan178233.20
Alan C. Bovik25062349.55