Perceptual Criteria for Image Quality Evaluation

Thrasyvoulos N Pappas*, Robert J. Safranek, Junqing Chen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

68 Scopus citations

Abstract

This chapter presents objective criteria for the evaluation of image quality that are based on the models of visual perception. Two major classes of models for image quality have been considered-general models and models that have been designed specifically for image compression applications. The general models are more elaborate and computationally intensive. The coder-specific models are simpler and computationally efficient. The coder-specific models have been shown to be quite effective when used to predict the performance of the given coder. However, the real challenging task is to predict the performance of coders with different structures-that is, wavelet versus DCT-based coders. The general models are expected to be more effective in this case.

Original languageEnglish (US)
Title of host publicationHandbook of Image and Video Processing
PublisherElsevier Inc.
Pages939-959
Number of pages21
ISBN (Print)9780121197926
DOIs
StatePublished - Dec 1 2005

ASJC Scopus subject areas

  • Computer Science(all)

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