Comparative Efficiency Analysis of Gradational Correction Models of Highly Lighted Image

Autor: Kirill Smelyakov, Vitalii Martovytskyi, Anastasiya Chupryna, Denys Sandrkin, Mykyta Hvozdiev
Rok vydání: 2019
Předmět:
Zdroj: 2019 IEEE International Scientific-Practical Conference Problems of Infocommunications, Science and Technology (PIC S&T).
DOI: 10.1109/picst47496.2019.9061356
Popis: The paper provides a comparative analysis of the application of the most demanded gradational correction models (power, exponential and logarithmic) of a highly lighted digital image, which capable of automatic adaptation to different brightness scales, discusses the features of their practical application, sets up an experiment to improve the highly lighted photo. In the experiment, the test image is modified with use of different gradation correction models and different parameters, this helps to show the practical value of such modifications and the coefficient of image enhancement is given to provide comparative analysis of influence of input parameters to final result. After considering the results of the experiment, analysis and recommendations for the practical use of the models are given which helps to solve actual applied tasks of digital image quality improvement
Databáze: OpenAIRE