Browsing by Author "Lai, Hsin-Cheng"

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A Modified H.264 Intra-frame Video Encoder for Capsule Endoscope
(2008-01-01)
Dung, Lan-Rong
;
Wu, Yin-Yi
;
Lai, Hsin-Cheng
;
Weng, Ping-Kuo
;
電控工程研究所
The objective of this paper is to develop an ultra-low-power video compression processor for capsule endoscope to lower the RF transmitter bandwidth. In applications of capsule endoscope, it is imperative to consider battery life and performance trade-offs. Applying state-of-the-art video compression techniques may significantly reduce the image bit rate by their high compression ratio, but they all require intensive computation and consume much power from battery. There are also many fast video compression algorithms for reducing computation load; however, they may result in distortion of original image. A new video compression algorithm for gastrointestinal image based on H.264 Intra-frame encoder and its corresponding VLSI architecture are both proposed for low-power, high bite-rate wireless capsule endoscope. The algorithm exploits the characteristic of gastrointestinal image and H.264 intra-frame prediction technique to reduce computing complexity and save battery power consumption. As the result of implementation, the developed video compressor for 512-by-512 image sensor and 2 Mbits/sec RF transmitter costs 60k gates and consumes 0.9161mW power at 2 frames/sec while the average compression rate can be as low as 82%.
A Modified H.264 Intra-frame Video Encoder for Capsule Endoscope
(2008)
Dung, Lan-Rong
;
Wu, Yin-Yi
;
Lai, Hsin-Cheng
;
Weng, Ping-Kuo
;
電控工程研究所
The objective of this paper is to develop an ultra-low-power video compression processor for capsule endoscope to lower the RF transmitter bandwidth. In applications of capsule endoscope, it is imperative to consider battery life and performance trade-offs. Applying state-of-the-art video compression techniques may significantly reduce the image bit rate by their high compression ratio, but they all require intensive computation and consume much power from battery. There are also many fast video compression algorithms for reducing computation load; however, they may result in distortion of original image. A new video compression algorithm for gastrointestinal image based on H.264 Intra-frame encoder and its corresponding VLSI architecture are both proposed for low-power, high bite-rate wireless capsule endoscope. The algorithm exploits the characteristic of gastrointestinal image and H.264 intra-frame prediction technique to reduce computing complexity and save battery power consumption. As the result of implementation, the developed video compressor for 512-by-512 image sensor and 2 Mbits/sec RF transmitter costs 60k gates and consumes 0.9161mW power at 2 frames/sec while the average compression rate can be as low as 82%.
A Modified H.264 Intra-frame Video Encoder for Capsule Endoscope
(2008)
Dung, Lan-Rong
;
Wu, Yin-Yi
;
Lai, Hsin-Cheng
;
Weng, Ping-Kuo
;
電控工程研究所
The objective of this paper is to develop an ultra-low-power video compression processor for capsule endoscope to lower the RF transmitter bandwidth. In applications of capsule endoscope, it is imperative to consider battery life and performance trade-offs. Applying state-of-the-art video compression techniques may significantly reduce the image bit rate by their high compression ratio, but they all require intensive computation and consume much power from battery. There are also many fast video compression algorithms for reducing computation load; however, they may result in distortion of original image. A new video compression algorithm for gastrointestinal image based on H.264 Intra-frame encoder and its corresponding VLSI architecture are both proposed for low-power, high bite-rate wireless capsule endoscope. The algorithm exploits the characteristic of gastrointestinal image and H.264 intra-frame prediction technique to reduce computing complexity and save battery power consumption. As the result of implementation, the developed video compressor for 512-by-512 image sensor and 2 Mbits/sec RF transmitter costs 60k gates and consumes 0.9161mW power at 2 frames/sec while the average compression rate can be as low as 82%.
Au Nanoparticle Light Scattering Enhanced Responsivity in Pentacene Phototransistor for Deep-UV Light Detection
(2015-11-01)
Yuan, Shuo-Huang
;
Pei, Zingway
;
Lai, Hsin-Cheng
;
Chen, Chien-Hsun
;
Li, Pei-Wen
In this letter, a pentacene thin-film phototransistor (PTFP) with gold nanoparticles (Au-NPs) decoration in bottom-gate structure was demonstrated. With the Au-NPs, this device is capable of scattering the free-space ultra-violet (UV) irradiation into the pentacene film. Therefore, the PTFP with Au-NPs exhibit 4.5-A/W responsivity with V-GS = 0 V at the wavelength of 240 nm. Meanwhile, an ultimate 32.4-A/W responsivity can be achieved with V-GS = -10 V at the wavelength of 240 nm. Such an excellent spectral response suggests PTFP is capable for used in daily and disposable UV status assessment.