Title :
Simultaneous image formation and motion blur restoration via multiple capture
Author :
Liu, Xinqiao ; El Gamal, Abbas
Author_Institution :
Inf. Syst. Lab., Stanford Univ., CA, USA
Abstract :
Advances in CMOS image sensors enable fast image capture, which makes it possible to capture multiple images within a normal exposure time. An algorithm that takes advantage of this capability by simultaneously constructing a high dynamic range image and performing motion blur restoration from multiple image captures is described. The algorithm comprises two main procedures-photocurrent estimation and motion/saturation detection. It operates completely locally-each pixel´s final value is computed using only its captured values-and recursively, requiring the storage of only a constant number of values per pixel independent of the number of images captured. These modest computational and storage requirements make it feasible to integrate all needed memory and processing with the image sensor on a single CMOS chip. Simulation results demonstrate the enhanced SNR, dynamic range, and the motion blur restoration obtained using our algorithm
Keywords :
CMOS image sensors; image restoration; image sequences; motion compensation; recursive estimation; CMOS image sensors; enhanced SNR; high dynamic range image; image formation; modest computational requirements; modest storage requirements; motion blur restoration; motion detection; multiple image capture; normal exposure time; photocurrent estimation; saturation detection; single CMOS chip; CMOS image sensors; CMOS process; Computational modeling; Dynamic range; Image restoration; Image sensors; Image storage; Motion detection; Motion estimation; Pixel;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-7041-4
DOI :
10.1109/ICASSP.2001.941301