Color Image Enhancement with Brightness Preservation Using A Histogram Speci?cation Approach

Authors

  • Dr. Rajeev Shrivastava, Mohammad Javeed, Mallika Jain

Abstract

Improving image quality is a fundamental requirement before pictorial information can be used in several real-time and manufacturing applications. For precise duplicate of the scene data, degradations ensuing in the contrast of loss should be corrected when effective histogram equalization is often used. In addition, it is also necessary to maintain the brightness of corrected image to truly represent the landscape properties. In this task, a strategy is suggested to specify an appropriate histogram profile so that the values of the image intensity are adjusted in accordance with, and the output brightness is kept close to the input image. Precisely, the equalization shape is shaped by discovery of a harmonising control threshold by mixing rectangular and triangle sections. These trials are performed using a large number of images in natural colors and compared to other available image improvement methods based on histogram. The results show that the suggested strategy will be able to achieve a wide range of performance goals, including content information, with color quality.

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Published

2020-05-19

Issue

Section

Articles