This paper is published in Volume-5, Issue-2, 2019
Area
Image Processing
Author
Anurag Cherukuri
Co-authors
B. Ravi Kiran, Buela Rani Badugu, Ravali Sujatha Alamuri, Yashwanth Aytha
Org/Univ
Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, Andhra Pradesh, India
Pub. Date
19 March, 2019
Paper ID
V5I2-1359
Publisher
Keywords
Color stretching, Histogram averaging, Remapping

Citationsacebook

IEEE
Anurag Cherukuri, B. Ravi Kiran, Buela Rani Badugu, Ravali Sujatha Alamuri, Yashwanth Aytha. Image enhancement by averaging histogram equalization, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Anurag Cherukuri, B. Ravi Kiran, Buela Rani Badugu, Ravali Sujatha Alamuri, Yashwanth Aytha (2019). Image enhancement by averaging histogram equalization. International Journal of Advance Research, Ideas and Innovations in Technology, 5(2) www.IJARIIT.com.

MLA
Anurag Cherukuri, B. Ravi Kiran, Buela Rani Badugu, Ravali Sujatha Alamuri, Yashwanth Aytha. "Image enhancement by averaging histogram equalization." International Journal of Advance Research, Ideas and Innovations in Technology 5.2 (2019). www.IJARIIT.com.

Abstract

Image Processing is defined as the process of converting an image into digital form and perform operations on it, in order to get an enhanced image or to extract some useful information from it. Image Processing has various categories in which Image Enhancement is one of them. Image enhancement is defined as the process of adjusting digital images such that the results are more suitable for display or further image analysis. The fundamental requirements for any vision based application are contrast enhancement and brightness preservation. The existing systems don’t satisfy both the requirements simultaneously. In this paper, a system is proposed which consists of step by step processes like color stretching, histogram averaging and re-mapping. The proposed system employs a search process to find optimal algorithmic parameters, such that the mean brightness difference between the input and output images is minimized. The proposed system is tested against different images to test the working of the system.