Title :
Frame Based Adaptation for CMOS Imager
Author :
Climie, Dave ; Chen, Shoushun ; Bermak, Amine ; Martinez, Dominique
Author_Institution :
Dept. of Electr. & Electron. Eng., Hong Kong UST
Abstract :
This paper presents a VLSI architecture of a frame-based adaptive quantization technique based on the fast boundary adaptation rule (FBAR). The adaptive quantization algorithm is integrated together with a 128times128 pixel CMOS image sensor array. The pixel operation is based on biologically inspired time-to-first spike encoding scheme. System and circuit level simulations show the successful operation of the proposed architecture
Keywords :
CMOS image sensors; VLSI; array signal processing; quantisation (signal); CMOS image sensor array; FBAR; VLSI architecture; fast boundary adaptation rule; frame-based adaptive quantization technique; time-to-first spike encoding scheme; Adaptive arrays; Biological information theory; CMOS image sensors; Circuits; Encoding; Film bulk acoustic resonators; Pixel; Quantization; Sensor arrays; Very large scale integration; Adaptive Quantization; PWM CMOS Image Sensor;
Conference_Titel :
Information, Communications and Signal Processing, 2005 Fifth International Conference on
Conference_Location :
Bangkok
Print_ISBN :
0-7803-9283-3
DOI :
10.1109/ICICS.2005.1689055
