期刊
JOURNAL OF REAL-TIME IMAGE PROCESSING
卷 16, 期 5, 页码 1425-1437出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s11554-016-0653-4
关键词
Capsule endoscopy; Robotic capsule; Image compression; VLSI implementation; Low-power design
类别
资金
- Ministry of Science and Higher Education of Poland [AGH-11.11.120.774]
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 4x4 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 x 1.1 mm, high energy efficiency (27 mu J/frame) and throughput offer excellent scalability to handle image processing tasks in new, emerging, multi-view, robotic capsules.
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