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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Turcza, P. Duplaga, M. |
| Copyright Year | 2013 |
| Abstract | This paper presents the design of a hardware-efficient, low-power image processing system for next-generation wireless endoscopy. The presented system is composed of a custom CMOS image sensor, a dedicated image compressor, a forward error correction (FEC) encoder protecting radio transmitted data against random and burst errors, a radio data transmitter, and a controller supervising all operations of the system. The most significant part of the system is the image compressor. It is based on an integer version of a discrete cosine transform and a novel, low complexity yet efficient, entropy encoder making use of an adaptive Golomb-Rice algorithm instead of Huffman tables. The novel hardware-efficient architecture designed for the presented system enables on-the-fly compression of the acquired image. Instant compression, together with elimination of the necessity of retransmitting erroneously received data by their prior FEC encoding, significantly reduces the size of the required memory in comparison to previous systems. The presented system was prototyped in a single, low-power, 65-nm field programmable gate arrays (FPGA) chip. Its power consumption is low and comparable to other application-specific-integrated-circuits-based systems, despite FPGA-based implementation. |
| Page Count | 11 |
| File Size | 1503906 |
| Starting Page | 1046 |
| Ending Page | 1056 |
| File Format | |
| ISSN | 21682194 |
| Volume Number | 17 |
| Issue Number | 6 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | wireless capsule endoscopy (WCE) Image compression low-power design |
| Content Type | Text |
| Resource Type | Article |
| Subject | Health Information Management Health Informatics Electrical and Electronic Engineering Computer Science Applications Biotechnology |
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