A New Technique for Image Enhancement by Adaptive Power-Law Intensity Transformation
Sergei Yelmanov, Yuriy M. Romanyshyn · 2021
This study is devoted to the problem of improving digital image and video in real-time applications. This paper looks at the task of enhancing images in automatic mode without distortions and loss of information. This work addresses the challenge of improving the effectiveness of image enhancement based on the use of the technique of power-law transformation (gamma correction). To that end, we offer a new technique of image enhancement by adaptive power-law transformation based on the APLIT approach using proposed basis functions and thresholds. The proposed method gives results close to the traditional gamma correction but is less costly computationally.