Abstract: The idea of this thesis is to enhance the visual quality of an image in order to make it more suitable for various applications. The enhancement is done to improve the brightness of image as well as the contrast to some extent. For this purpose four techniques have been implemented namely Histogram Equalization(HE), Brightness Preserving Bi-Histogram Equalization (BBHE), Non-Parametric Modified Histogram Equalization (NMHE) and Brightness Preserving Dynamic Fuzzy Logic Based Histogram Equalization (BPDFHE) . Some basic image enhancement methods like Thresholding and Gaussian filtering are also implemented and a comparison is made based on different performance measures. Also a review of commonly used enhancement techniques based on histogram modifications is presented in the thesis. The MATLAB software is used to develop a GUI (graphical user interface) which makes it easier for users to improve an image using different techniques. Uncompressed, JPEG, and png images are used in this thesis. The result is based on the comparison of the different techniques and then the best method is suggested based on the comparison.
Keywords: Histogram Equalization(HE), Brightness Preserving Bi-Histogram Equalization (BBHE), Non-parametric Modified Histogram Equalization (NMHE) and Brightness preserving dynamic fuzzy logic based histogram equalization (BPDFHE), GUI (Graphical User Interface)
| DOI: 10.17148/IJARCCE.2018.7564