
pmid: 16830900
In this paper, a new encoding approach is proposed to control the JPEG2000 encoding in order to reach a desired perceptual quality. The new method is based on a vision model that incorporates various masking effects of human visual perception and a perceptual distortion metric that takes spatial and spectral summation of individual quantization errors into account. Compared with the conventional rate-based distortion minimization JPEG2000 encoding, the new method provides a way to generate consistent quality images at a lower bit rate.
Image Interpretation, Computer-Assisted, Computer Graphics, Reproducibility of Results, Numerical Analysis, Computer-Assisted, Signal Processing, Computer-Assisted, Artifacts, Data Compression, Image Enhancement, Sensitivity and Specificity, Algorithms, Pattern Recognition, Automated
Image Interpretation, Computer-Assisted, Computer Graphics, Reproducibility of Results, Numerical Analysis, Computer-Assisted, Signal Processing, Computer-Assisted, Artifacts, Data Compression, Image Enhancement, Sensitivity and Specificity, Algorithms, Pattern Recognition, Automated
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 103 | |
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
