A Neuro-Fuzzy Approach for Compensating Color Backlight Images
Neural Processing Letters
Image quality improvement by adaptive exposure correction techniques
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Automatic image enhancement by content dependent exposure correction
EURASIP Journal on Applied Signal Processing
The eISP low-power and tiny silicon footprint programmable video architecture
Journal of Real-Time Image Processing
Automatic level control for video cameras towards HDR techniques
Journal on Image and Video Processing - Special issue on emerging methods for color image and video quality enhancement
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The authors have developed a new method for the expansion of the dynamic range of a video camera. A variable and nonlinear gamma characteristic is applied to the input image depending on the distribution of the luminance. The gamma characteristic is decided so as to amplify the luminance of the dark pixels and to preserve the contrast of the bright pixels for the back-lit objects. The output luminance equals the input luminance for the front-lit objects. The authors have established the decision rule of the gamma characteristic using the learning algorithms of the neural networks in order to make the decision rule coincide with the human vision. The effect of the new method is expansion of the dynamic range by 9.6 dB. The authors have developed a new structure for the implementation of the gamma decision rule. It consists of a cascade connection of RAMs and its scale is less than 1/100 than the conventional structure with a single RAM. They have implemented the adaptive gamma processing in a consumer video camera