A near lossless and low complexity image compression algorithm based on fixed threshold DPCM for capsule endoscopy
| Autor: | Surender Kumar Soni, Nithin Varma Malathkar |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Lossless compression
Computer Networks and Communications Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020207 software engineering Data_CODINGANDINFORMATIONTHEORY 02 engineering and technology law.invention Clipping (photography) Hardware and Architecture Capsule endoscopy law Golomb coding 0202 electrical engineering electronic engineering information engineering Media Technology Algorithm Software |
| Zdroj: | Multimedia Tools and Applications. 79:8145-8160 |
| ISSN: | 1573-7721 1380-7501 |
| DOI: | 10.1007/s11042-019-08347-w |
| Popis: | Compression chip plays a vital role in a wireless capsule endoscopy. It compresses the captured image data to support the limited bandwidth of wireless capsule endoscopy and save the power utilized for transmitting data. This work proposed a near-lossless and low complexity image compression algorithm for wireless capsule endoscopy to provide a high quality image at a good compression ratio with less computational complexity. The algorithm follows four steps, first corner clipping, second RGB-YEN color transform, third fixed threshold DPCM and finally signed Golomb Rice code. The proposed algorithm has a competitive compression ratio of 60.9% compared to other works. It is better than standard JPEG-LS in term of memory usage and computational complexity. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink