Using non-symmetry and anti-packing model for image contrast enhancement

In this paper, we propose a non-symmetry and anti-packing image representation model (NAM). NAM is a hierarchical image representation method and its aim is less data amount and faster operation. By taking a rectangle sub-pattern for example, we describe the idea of NAM. In addition, an approach for adaptive area histogram equalization image contrast enhancement based on a NAM image is presented. The contrast enhancement approach is designed to meet the NAM image representation and can be fast implemented. In this work, the contrast enhancement method combines dynamic range modification and adaptive area histogram equalization to improve the visualization of images. Complexity analysis and experimental results show that the NAM based algorithm for image contrast enhancement is faster and more effective than that based on matrix image.