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.<>
Image content based improvements to locally adaptive video enhancement
Proceedings of 1st International Conference on Image Processing ; 3 ; 621-624 vol.3
01.01.1994
334630 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Image Content Based Improvements to Locally Adaptive Video Enhancement
British Library Conference Proceedings | 1994
|Tensor-based locally maximum margin classifier for image and video classification
British Library Online Contents | 2011
|Nonlinear locally adaptive and iterative algorithms of image restoration
British Library Online Contents | 1997
|Image enhancement improves processed video images
British Library Online Contents | 1995
|Content-Based Access of Image and Video Libraries
British Library Online Contents | 1999
|