원문정보
초록
영어
This paper proposed brightness preserving dynamic fuzzy histogram equalization using triangular membership function which is the modified technique of histogram equalization. This modified technique, called Brightness Preserving Dynamic Fuzzy Histogram Equalization (BPDFHE), uses fuzzy statistics of digital images for their representation and processing in the fuzzy area which enables the technique to handle the approximation of gray level values in a better way for better presentation. This algorithm enhances image contrast as well as conserves the brightness very well. Some images are not available to excellent quality, so proposed Fuzzy algorithm can be used for image enhancement to improve the quality of the image.
목차
1. Introduction
2. Brightness Preserving Dynamic Fuzzy Histogram Equalization
2.1. Fuzzy Histogram Computation
2.2. Partitioning of the Histogram
2.3. Dynamic histogram equalization of sub-histogram
2.4. Normalization of image brightness
3. Result
4. Quantitative Analysis
5. Conclusion
References