A classified vector quantization scheme for color image coding perceptually tuned

• Autorzy: Charrier C. , Cherifi H.
• Konferencja: International Conference on Signal Processing and Communications (2000 ; Marbella)
• Języki publikacji: EN

Abstrakty

EN

Edges are of fundamental importance in the analysis of images, and of course in the field of image quality. To incorporate the edgy: information as coded by the Human Visual System (HVS) in a vector quantization scheme, we have developed a classification strategy to separate edge vectors from non-edge vectors. This strategy allows the generation of different sets of codewords different size for each kind of vectors. For each one of the "edge" sets, the final size is perceptually tuned. Finally, when an image is encoded, its associated edge map is generated. Then the selection of the appropriate "edge" set is made in respect with the edge amount present in the image. Then the second set of non-edge vectors is performed in order to respect the required compression rate. Statistical measure and psychophysical experiments have been performed to judge the quality of reconstructed images.

Słowa kluczowe

EN

color images; compression; quality; vision

PL

jakość; kompresja; widzenie

• Wydawca: Instytut Telekomunikacji i Informatyki Uniwersytetu Technologiczno-Przyrodniczego w Bydgoszczy
• Czasopismo: Image Processing & Communications
• Rocznik: 2001
• Tom: Vol. 7, no 1-2
• Strony: 17--29
• Opis fizyczny: Bibliogr. 10 poz.,Rys., wykr.,

Twórcy

autor

Charrier C.

autor

Cherifi H.