… PLIP operators work on the cases based on the visual requirements of the images. It is
non-linear framework for image processing that maintains the pixel values within the range [0, M] …

… image processing, where the subjective quality of the image … Thereafter, a CE technique
termed stratified parametric-… In this paper, an effective histogram modification framework …

… Zhou, and EJ Wharton, “Parameterized logarithmic framework for image … [10] KA Panetta,
EJ Wharton, and SS Agaian, “Human visual systembased image enhancement and logarithmic …

… a novel unsupervised enhancement framework which is robust … , gamma function, or
logarithmic function. For example, … For learning a parametric model, Retinex theory [15] is often …

… , and then perform fuzzy image processing through a parametric transform to smooth and …
We perform image enhancement using the five enhancement models considered in our study (…

… fusion framework for low-illumination image enhancement, which effectively enhances
images taken … We first transform the image into the logarithmic domain:(16) P = l o g 2 ( Y + 1 ) …

… The overall framework can be trained under the supervision … the binary search algorithm of
logarithmic time complexity (O(… supervised learning of parameterized color enhancement. In …

… ) model is proposed for image enhancement. HRYNN is … for edge detail enhancement
than the logarithmic domain. To … More detailed multi-scale analysis and parametric analysis …

… [42] proposed a generative adversarial network (GAN)-based framework for nighttime
image enhancement, which takes advantage of the powerful ability of GANs to generate …

… For examples, such as logarithmic transformations, power law transform, and histogram …
The genetic algorithm, modified PDF, and histogram subdivision are all part of this framework. …