Open AccessVideo Images Enhanced by using Sigmoid-Logarithm Transform
Author(s) -
Hana H. Kareem,
Rabab M. Habeeb
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/871/1/012062
Subject(s) - artificial intelligence , logarithm , computer vision , histogram equalization , hue , lightness , contrast (vision) , sigmoid function , mathematics , histogram , computer science , color space , mean squared error , pattern recognition (psychology) , image (mathematics) , statistics , artificial neural network , mathematical analysis
It is challenging to enhance contrast in video images, because of the irregularity of contrast and lightness in each frame, and the long processing time to improve. In this research, we suggested a new method relied on sigmoid logarithm transform (SLT). In the video image, the SLT used to enhance lighting component in the HSV color space. To know the ability of enhancement the proposed method was compared with other methods as histogram equalization (HE), Multi Scale Retenix with Color Restoration (MSRCR) and non-traditional as Fusion at Weakly Illuminated Images (FWII), Depending on the average Natural Image Quality Evaluator (NIQE), Mean Squared Error for Hue (MSEH), Mean Squared Error for Saturation (MSES) for each video. By analyzing the results, it was found that the proposed algorithm has good results in the contrast and lightness enhancement.