… parameterized logarithmic image processing (PLIP) method combined with the Laplacian of
a Gaussian (LoG) filter to enhance … to an original CXR to enhance the nodule-like structures …

… 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] …

… parametric class of logarithmic models for image processing (… FLIP—Fuzzy Logarithmic
Image Processing models. We may … of a parametric set of logarithmic-type image processing …

… 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 …

… framework with different training configurations as shown from Sections 4.3 to 4.4. We leverage
two representative types of image processing tasks: image filtering and image … logarithm …

… ], logarithm [31] … framework to design a low-light image enhancement algorithm. To reduce
complexity, we only generate one image with appropriate exposure and obtain the enhanced …

… Therefore, our computational framework can be employed as an intelligent solution in …
Furthermore, the PSNR is usually expressed in terms of the logarithmic Decibel scale. With …

… low-light image contrast enhancement framework that primarily retrieves … It is parameterized
by a mean function m ( x ) and a … in the real low-light images logarithmically decreases as the …

… 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 ) …