DocumentCode :
3547639
Title :
A CMOS image sensor for focal plane decomposition
Author :
Lin, Zhiqiang ; Hoffman, Michael W. ; Leon-Salas, Walter D. ; Schemm, Nathan ; Balkir, Sina
Author_Institution :
Dept. of Electr. Eng., Nebraska Univ., Lincoln, NE, USA
fYear :
2005
fDate :
23-26 May 2005
Firstpage :
5322
Abstract :
An alternative image decomposition method that exploits prediction via nearby pixels has been integrated on a CMOS sensor focal plane. The proposed focal plane decomposition is compared to the 2D discrete wavelet transform (DWT) decomposition commonly used in state of the art compression schemes such as EBCOT and SPIHT. A technique for focal plane prediction is described that can be used to decompose the image into pyramid subbands as is done in DWT based approaches. Although its simulated compression performance is somewhat lower than that obtained using wavelet decomposition, prediction decomposition has much lower computational complexity and is suitable for implementation directly on the focal plane in a completely pixel parallel structure. When coupled with SPIHT-like encoding, the focal plane prediction technique obtains all the advantages of the DWT based SPIHT compression algorithm, including both high image quality at low bit rates and optimized data ordering for progressive image transmission. A CMOS test chip to perform single layer image decomposition based on pixel level parallel computation has been prototyped. The design and test results for this chip are discussed.
Keywords :
CMOS image sensors; computational complexity; data compression; discrete wavelet transforms; focal planes; image coding; image processing; integrated circuit design; parallel processing; prediction theory; visual communication; 2D DWT decomposition; 2D discrete wavelet transform decomposition; CMOS image sensor; EBCOT; SPIHT; computational complexity; focal plane decomposition; focal plane prediction; image compression; image decomposition; optimized data ordering; pixel parallel structure; progressive image transmission; pyramid subbands; CMOS image sensors; Computational complexity; Computational modeling; Couplings; Discrete wavelet transforms; Image coding; Image decomposition; Pixel; Predictive models; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on
Print_ISBN :
0-7803-8834-8
Type :
conf
DOI :
10.1109/ISCAS.2005.1465837
Filename :
1465837
Link To Document :
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