Abstract | ||
---|---|---|
Both visual sensitivity and spatial selectivity determine the overall visibility threshold at each pixel in an image, according to the physiological and psychological evidence towards the human visual system (HVS). Visual sensitivity can be decided by an existing estimator for just-noticeable-distortion (JND). A computational model is proposed for incorporating a selectivity measure into the JND profile so that more effective noise shaping is possible in various applications. Experimental results with noise-embedded video sequences confirm that the introduction of spatial selectivity enhances the performance of the JND profile used in noise shaping. |
Year | DOI | Venue |
---|---|---|
2004 | 10.1109/ICASSP.2004.1326642 | ICASSP (3) |
Keywords | Field | DocType |
sensitivity,video signal processing,noise-embedded video sequences,hvs,human visual system,just-noticeable-distortion profile,parameter estimation,distortion,spatial selectivity,visual sensitivity,random noise,noise shaping,image sequences,visual perception,computational modeling,computer model,psychology,spatial resolution,machine vision | Computer vision,Visibility,Pattern recognition,Human visual system model,Computer science,Noise shaping,Pixel,Artificial intelligence,Estimation theory,Distortion,Image resolution,Visual perception | Conference |
Volume | ISSN | ISBN |
3 | 1520-6149 | 0-7803-8484-9 |
Citations | PageRank | References |
3 | 0.41 | 6 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zhongkang Lu | 1 | 577 | 46.90 |
Weisi Lin | 2 | 5366 | 280.14 |
Xiaokang Yang | 3 | 3581 | 238.09 |
eeping ong | 4 | 144 | 9.18 |
S. S. Yao | 5 | 4 | 0.77 |