Image compression based on pyramid sub-band filtering
| Autor: | Po-Chiang Lu, Cheng-Ping Chao, Chung-Ming Kuo, Chaur-Heh Hsieh |
|---|---|
| Rok vydání: | 1995 |
| Předmět: |
business.industry
Gaussian Pattern recognition Construct (python library) Filter (signal processing) symbols.namesake Compression (functional analysis) Human visual system model symbols Computer vision Pyramid (image processing) Artificial intelligence Electrical and Electronic Engineering business Laplace operator Image compression Mathematics |
| Zdroj: | International Journal of Electronics. 78:449-461 |
| ISSN: | 1362-3060 0020-7217 |
| DOI: | 10.1080/00207219508926176 |
| Popis: | An efficient image compression method based on pyramid sub-band filtering is presented. Gaussian and Laplacian pyramids are adopted to construct a sub-band filter. The filter is then used to decompose an original image signal into three sub-bands: low-frequency, middle frequency and high frequency. The sub-bands are separately encoded by different schemes according to the statistical characteristics of the sub-bands and the properties of the human visual system. Simulation results show that the compression efficiency is improved significantly. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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