1
Electrical and Computer Engineering, Noshirvani University of Technology, Babol
2
Computer & Electrical Engineering, Noshirvani University of Technology, Babol
Abstract
In this paper, a general framework for image contrast enhancement algorithm based on an optimization problem is presented. Through this optimization, the intensities can be better distributed. The algorithm is based on the facts that the histogram of the enhanced image is close to the input image histogram and uniform distribution, simultaneously. Based on this fact, we obtain a closed form optimal solution for the histogram of the enhanced image. Experimental results in a wide range of images demonstrate the high-performance of the proposed method.
Iravani, S., & Ezoji, M. (2016). A General Framework for 1-D Histogram-baesd Image Contrast Enhancement. International Journal of Engineering, 29(10), 1384-1391.
MLA
Sahar Iravani; Mehdi Ezoji. "A General Framework for 1-D Histogram-baesd Image Contrast Enhancement". International Journal of Engineering, 29, 10, 2016, 1384-1391.
HARVARD
Iravani, S., Ezoji, M. (2016). 'A General Framework for 1-D Histogram-baesd Image Contrast Enhancement', International Journal of Engineering, 29(10), pp. 1384-1391.
VANCOUVER
Iravani, S., Ezoji, M. A General Framework for 1-D Histogram-baesd Image Contrast Enhancement. International Journal of Engineering, 2016; 29(10): 1384-1391.