Quantifying visual distortion in low-rate wavelet-coded images

IEEE International Conference on Image Processing

Volumn 3, Issue , 2001, Pages 796-799

  Hemami, S S ^a   Ramos, M G ^a  

^a Sch of Electrical and Com Eng ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; CALCULATIONS; ERRORS; IMAGE COMPRESSION; SIGNAL DISTORTION; WAVELET TRANSFORMS;

MEAN SQUARED ERROR; RELATIVE THRESHOLD ELEVATIONS; VISIBILITY THRESHOLDS; VISUAL DISTORTION;

IMAGE CODING;

EID: 0035173454     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. Visibility of wavelet quantization noise
2. A perceptually tuned subband image coder with image dependent quantization and post-quantization data compression
3. Comparative study of wavelet and DCT decompositions with equivalent quantization and encoding strategies for medical images
4. A perceptually tuned subband image coder based on the measure of just-noticeable distortion profile
5. A perceptually tuned embedded zerotree image coder
6. Wavelet coefficient quantization to produce equivalent visual distortion in complex stimuli
7. Contrast in complex images
8. Application of a noise-adaptive contrast sensitivity function to image data compression