This paper proposes a statistically optimum adaptive wavelet packet (WP) thresholding
function for image denoising based on the generalized Gaussian distribution. It applies …

The underwater images usually suffers from non-uniform lighting, low contrast, blur and
diminished colors. In this paper, we proposed an image based preprocessing technique to …

Recently, image denoising using the wavelet transform has been attracting much attention.
Wavelet based approach provides a particularly useful method for image denoising when …

Medical image processing is used for the diagnosis of diseases by the physicians or
radiologists. Noise corrupts medical images and hence qualities of the images are …

To remove noise from infrared thermal images captured in underground mining working face
under low luminance and dusty environment, a nonreference infrared thermal image …

In image processing, image is corrupted by different type of noises. But generally medical
image is corrupted by speckle noise. So image de-noising has become a very essential …

In image processing, denoising is one of the important tasks. Despite the significant
research conducted on this topic, the development of efficient denoising methods is still a …

For the problem of underwater image de-noising, a new method based on adaptive wavelet
combining adaptive threshold selection with adaptive output of the threshold function is …

Speckle noise is a multiplicative type of noise commonly seen in medical and remote
sensing images. It gives a granular appearance that degrades the quality of the recorded …

A generalized filter for enhancing fetal structures to aid feature extraction for design of
automated clinical diagnosis and decision making system for fetal pathology identification …