Vektorkvantisering för kodning och brusreducering
TechnologyImage codingVideo codingImage compressionVideo compressionDe-noisingVector quantizationVQNLIVQHexagonal Close PackingTEKNIKVETENSKAP
This thesis explores the possibilities of avoiding the issues generally associated with compression of noisy imagery, through the usage of vector quantization. By utilizing the learning aspects of vector quantization, image processing operations such as noise reduction could be implemented in a straightforward way. Several techniques are presented and evaluated. A direct comparison shows that for noisy imagery, vector quantization, in spite of it's simplicity, has clear advantages over MPEG-4 encoding.