An analysis of Histogram equalization method for Brightness Preserving and Contrast Enhancement
نویسندگان
چکیده
The contrast of an image is a feature which determines how image looks better visually. The Contrast enhancement is considered as one of the most important issues in image processing. Histogram equalization (HE) is one of the common methods used for improving contrast in digital images. This technique is usually used for image enhancement because of its simplicity, practical and comparatively better performance on almost all types of images. One drawback of HE can be found that it is tends to introduce some annoying artifacts and unnecessary enhancement. In this paper some brightness preserving techniques are used as a result overcome drawbacks of HE. For performance assessment we have used Peak Signal to Noise Ratio (PSNR), absolute mean brightness error (AMBE), and entropy. From experimental result, it is observed that NMSE and BPDFHE have better image enhancement capability.
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