Perceptually lossless medical image coding.
other · Level V
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Abstract
A novel perceptually lossless coder is presented for the compression of medical images. Built on the JPEG 2000 coding framework, the heart of the proposed coder is a visual pruning function, embedded with an advanced human vision model to identify and to remove visually insignificant/irrelevant information. The proposed coder offers the advantages of simplicity and modularity with bit-stream compliance. Current results have shown superior compression ratio gains over that of its information lossless counterparts without any visible distortion. In addition, a case study consisting of 31 medical experts has shown that no perceivable difference of statistical significance exists between the original images and the images compressed by the proposed coder.
Medical subject headings
- Algorithms
- Data Compression
- Image Enhancement
- Image Interpretation, Computer-Assisted
- Imaging, Three-Dimensional
- Pattern Recognition, Automated
- Signal Processing, Computer-Assisted