Enhancement Technique of Infrared Images

Contrast Enhancement Technique for Medical Images

This paper describes a technique for image contrast enhancement. This technique is based on localized contrast manipuladon. This technique is easy to implement and have several properties such as adaptive, multiscale and weighted localization. This paper also describes an anisotropic propagation for this technique. Several examples for medical images such as Chest CT image, Brain MR images, Mam...

Homomorphic Enhancement of Infrared Images Using the Additive Wavelet Transform

Abstract—This paper presents a new enhancement technique for infrared images. This technique combines the benefits of homomorphic image processing and the additive wavelet transform. The idea behind this technique is based on decomposing the image into subbands in an additive fashion using the additive wavelet transform. This transform gives the image as an addition of subbands of the same reso...

A Novel Image Enhancement Technique for Ancient Images using Optimal Histogram Equalization and Fuzzy Enhancement Technique

Ancient image enhancement algorithm based on Optimal Histogram Equalization and Fuzzy Enhancement techniques were discussed in this paper, in-order to overcome the problems of poor contrast and sharpness in low quality images. This proposed method consist of two stages :the first, the technique of image Smoothing, where we make use of optimal histogram equalization and fuzzy enhancement techniq...

Display and detail enhancement for high-dynamic-range infrared images

An Image Based Technique for Enhancement of Underwater Images

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 enhance the quality of the underwater images. The proposed technique comprises a combination of four filters such as homomorphic filtering, wavelet denoising, bilateral filter and contrast equalization. These filters are ...