Fundamentals of digital image processing
Fundamentals of digital image processing
A multiscale model of adaptation and spatial vision for realistic image display
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Content Aware Image Enhancement
AI*IA '07 Proceedings of the 10th Congress of the Italian Association for Artificial Intelligence on AI*IA 2007: Artificial Intelligence and Human-Oriented Computing
Issues About Retinex Theory and Contrast Enhancement
International Journal of Computer Vision
Fast automatic compensation of under/over-exposured image regions
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
Dynamic range compression based on statistical analysis
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Skin lesion extraction in dermoscopic images based on colour enhancement and iterative segmentation
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Underwater image processing: state of the art of restoration and image enhancement methods
EURASIP Journal on Advances in Signal Processing - Special issue on advances in signal processing for maritime applications
Unsupervised color film restoration using adaptive color equalization
VISUAL'05 Proceedings of the 8th international conference on Visual Information and Information Systems
Proceedings of the 10th European Conference on Visual Media Production
Simultaneous image color correction and enhancement using particle swarm optimization
Engineering Applications of Artificial Intelligence
A Wavelet Perspective on Variational Perceptually-Inspired Color Enhancement
International Journal of Computer Vision
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In this work we present a new algorithm for digital images unsupervised enhancement with simultaneous global and local effects, called ACE for Automatic Color Equalization. It is based on a computational model of the human visual system that merges the two basic "Gray World" and "White Patch" global equalization mechanisms. Inspired by some adaptation mechanisms of the human vision, it realizes a local filtering effect by taking into account the color spatial distribution in the image. Like the human visual system, ACE is able to "adapt" to widely varying lighting conditions and to extract visual information from the environment efficaciously. It has shown promising results in achieving different equalization tasks, e.g. performing color and lightness constancy, realizing image dynamic data driven stretching, controlling the contrast. Characteristics, tests and results are presented.