Szczegóły publikacji
Opis bibliograficzny
Energy-efficient image compression algorithm for high-frame rate multi-view wireless capsule endoscopy / Paweł TURCZA, Mariusz Duplaga // Journal of Real-Time Image Processing ; ISSN 1861-8200. — 2019 — vol. 16 iss. 5, s. 1425–1437. — Bibliogr. s. 1436–1437, Abstr. — Publikacja dostępna online od: 2016-11-21
Autorzy (2)
- AGHTurcza Paweł
- Duplaga Mariusz
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 104316 |
|---|---|
| Data dodania do BaDAP | 2017-03-27 |
| Tekst źródłowy | URL |
| DOI | 10.1007/s11554-016-0653-4 |
| Rok publikacji | 2019 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Journal of Real-Time Image Processing |
Abstract
The design, architecture and VLSI implementation of an image compression algorithm for high-frame rate, multi-view wireless endoscopy is presented. By operating directly on Bayer color filter array image the algorithm achieves both high overall energy efficiency and low implementation cost. It uses two-dimensional discrete cosine transform to decorrelate image values in each 4×4 block. Resulting coefficients are encoded by a new low-complexity yet efficient entropy encoder. An adaptive deblocking filter on the decoder side removes blocking effects and tiling artifacts on very flat image, which enhance the final image quality. The proposed compressor, including a 4 KB FIFO, a parallel to serial converter and a forward error correction encoder, is implemented in 180 nm CMOS process. It consumes 1.32 mW at 50 frames per second (fps) and only 0.68 mW at 25 fps at 3 MHz clock. Low silicon area 1.1 mm × 1.1 mm, high energy efficiency (27 μJ/frame) and throughput offer excellent scalability to handle image processing tasks in new, emerging, multi-view, robotic capsules.
