In order to improve medical image visual quality, this paper presents a new method for unsharp masking for edge preservation and contrast enhancement of an image. Our approach employs a classical unsharp mask filter for the enhancement of the medical images, which will not only preserve the edge but also maintain the contrast that is suitable for body part. Image Enhancement transforms images t...

Color Constancy is the capability to recognize colors of objects, invariant to the color of the illumination source. This ability is usually endorsed to the Human Visual System, even though the precise details remain hesitant. Visual surveillance is one of the applications of color constancy which aims to improve the reliability of applications that depend on consistent color descriptions. Also...

Contrast enhancement has an important role in image processing applications. Conventional contrast enhancement techniques often fail to produce satisfactory results for broad variety of low contrast images or cannot be automatically applied to different images, because their parameters must be specified manually to produce a satisfactory result for a given image. A Power Constrained Contrast En...

Image Enhancement is one of the most important and complex techniques in image processing technology. The main aim of image enhancement is to improve the visual appearance of an image, or to offer a “better transform representation of the image. Various types of images like medical images, satellite images, aerial images and real life photographs suffer from different problems like poor contras...

In this paper, we propose a 2-stage preprocessing framework which consists of image enhancement and deformation techniques to increase the verification performance of image-based biometric systems. In the preprocessing framework, first the quality of biometric image is enhanced and then a deformation model is applied to minimize the variation between the two images to be matched. The proposed S...

This paper proposes a novel idea of reversible contrast enhancement (RCE) for digital images. Different from the traditional methods, we aim to embed the reversible feature into image contrast enhancement, making sure that the processed image can be losslessly turned back to the original. The original image is enhanced by histogram shrink and contrast stretching. Meanwhile, side information is ...

There are a lot of images around carrying valuable information yet because of its poor quality, necessary information cannot be extracted. A low quality image is perceived to have low contrast and poorly defined boundaries between the edges. Most watched images speak to just a corrupted form of the first scene since genuine imaging systems and additionally imaging conditions are normally poor. ...

In this paper we enhanced poor illuminated low contrast image and sharpen the foreground part using stochastic resonance (SR). Noise generally hinders communication system. But by using SR image, performance is improved by adding noise. At an optimum noise level SNR performance become appreciable. Literally this pixel dynamics concepts adopts particle mechanics following Benzi’sbistable model. ...

The main aim of this paper is to propose a technique for enhancing contrast of the dark images using Undecimated Balanced GHM multi wavelet transform (UMWT) and Dynamic Stochastic Resonance (DSR). The DSR based approach utilizes the inherent noise of an image for enhancement. Darkness due to inadequate illumination is treated as noise, and is used to yield a noise induced adjustment of the imag...

The main aim of this paper is to propose a technique for enhancing contrast of the dark images using Undecimated Balanced GHM multi wavelet transform (UMWT) and Dynamic Stochastic Resonance (DSR). The DSR based approach utilizes the inherent noise of an image for enhancement. Darkness due to inadequate illumination is treated as noise, and is used to yield a noise induced adjustment of the imag...