DocumentCode :
2107514
Title :
Image content based improvements to locally adaptive video enhancement
Author :
Hier, Richard G. ; DeForest, Sherman E.
Author_Institution :
DigiVision Inc., San Diego, CA, USA
Volume :
3
fYear :
1994
fDate :
13-16 Nov 1994
Firstpage :
621
Abstract :
Three classes of adaptations to systems for video processing are presented. These three techniques are special purpose modifications to commonly used algorithms. The first technique limits excursions of peak white and black with minimum compromise of edge enhancement. The second is a method of preserving perceived chroma when processing luminance. The third is an adaptive contrast term to control the enhancement level in black regions of an image such that noise often associated with dark scene material is not enhanced. All three techniques have been installed on various real-time image processors made by DigiVision for specialty tasks such as night vision and medical endoscopy
Keywords :
adaptive signal processing; image colour analysis; image enhancement; interference suppression; video signal processing; DigiVision; adaptive contrast term; commonly used algorithms; dark scene material; edge enhancement; enhancement level; image content based improvements; locally adaptive video enhancement; luminance; medical endoscopy; night vision; noise; peak black; peak white; perceived chroma; real-time image processors; specialty tasks; video processing; Adaptive control; Biomedical imaging; Convolution; Displays; Endoscopes; Kernel; Layout; Night vision; Noise level; Programmable control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-6952-7
Type :
conf
DOI :
10.1109/ICIP.1994.413731
Filename :
413731
Link To Document :
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