Context-based Lossless Image Compression
| Autor: | Peter Tischer, Anthony Maeder, Roderick T. Worley, M. Goodwin |
|---|---|
| Rok vydání: | 1993 |
| Předmět: |
Lossless compression
General Computer Science Pixel business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing Data_CODINGANDINFORMATIONTHEORY computer.file_format Lossy compression Gray code Computer vision Artificial intelligence business Lossless JPEG computer Algorithm Mathematics Data compression Image compression |
| Zdroj: | The Computer Journal. 36:68-77 |
| ISSN: | 1460-2067 0010-4620 |
| Popis: | The two-dimensional method of Langdon and Rissanen for compression of black and white images is extended to handle the exact lossless compression of grey-scale images. Neighbouring pixel values are used to define contexts and probabilities associated with these contexts are used to compress the image. The problem of restricting the number of contexts, both to limit the storage requirements and to be able to obtain sufficient data to generate meaningful probabilities, is addressed. Investigations on a variety of images are carried out using the JPEG lossless mode predictors |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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