Image compression using subjective vector quantization
Published in eScholarship@McGill (McGill) • Jan 1, 1992
NobleIDNI2P582W032R455S292
Authors:
Ronny Quesnel
Abstract
The goal of this research is to improve the subjective quality of real world imagery encoded with spatial vector quantization (VQ). Improved subjective quality implies that a human perceives less visually objectionable distortion when looking at the coded images. Through study of several basic VQ sc...
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