Title :
A CMOS Image Sensor with Focal Plane Discrete Cosine Transform Computation
Author :
Tan, Edwin J. ; Ignjatovic, Zeljko ; Bocko, Mark F.
Author_Institution :
Dept. of Electr. & Comput. Eng., Rochester Univ., NY
Abstract :
In this paper we describe an image sensor with nonuniform pixel placement that enables a highly efficient computation of the discrete cosine transform, which is the most computationally demanding step of the image compression algorithm. This technique is based on the arithmetic Fourier transform (AFT), which we show to be 5 times more computationally efficient than currently used DCT computation methods. The architecture and circuits described can be implemented in conventional CMOS processes.
Keywords :
CMOS image sensors; Fourier transforms; discrete cosine transforms; CMOS image sensor; arithmetic Fourier transform; focal plane discrete cosine transform computation; image compression algorithm; nonuniform pixel placement; Arithmetic; CMOS image sensors; CMOS process; Circuits; Computer architecture; Discrete cosine transforms; Fourier transforms; Image coding; Image sensors; Pixel;
Conference_Titel :
Circuits and Systems, 2007. ISCAS 2007. IEEE International Symposium on
Conference_Location :
New Orleans, LA
Print_ISBN :
1-4244-0920-9
Electronic_ISBN :
1-4244-0921-7
DOI :
10.1109/ISCAS.2007.377942
