Why is image quality assessment so difficult?

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 4, Issue , 2002, Pages 3313-3316

  Wang, Zhou ^a   Bovik, Alan C ^a   Lu, Ligang ^b  

^a The University of Texas at Austin   (United States)

^b IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CORRELATION METHODS; ERROR ANALYSIS; IMAGE PROCESSING; MATHEMATICAL MODELS; SENSITIVITY ANALYSIS;

ERROR SENSITIVITY; IMAGE QUALITY ASSESSMENT; QUALITY MEASUREMENT; STRUCTURAL DISTORTION;

IMAGE QUALITY;

EID: 0036288342     PISSN: 15206149     EISSN: None     Source Type: Journal    
DOI: 10.1109/ICASSP.2002.5745362     Document Type: Article

References (12)

1. Perceptual criteria for image quality evaluation
2. Final report from the video quality experts group on the validation of objective models of video quality assessment
3. Special issue on image and video quality metrics
4. What's wrong with mean-squared error
5. A visual discrimination mode for image system design and evaluation
6. The visible difference predictor: An algorithm for the assessment of image fidelity
7. Digital video quality metric based on human vision
8. Visibility of wavelet quantization noise
9. Image dissimilarity
10. Image quality measures and their performance
11. A universal image quality index
12. Visual detection of spatial contrast patterns: Evaluation of five simple models