An innovative technique for the enhancement of digital color images captured under extremely nonuniform lighting conditions is proposed in this paper. The key contributions of this technique are adaptive intensity enhancement, contrast enhancement and color restoration. Simultaneous enhancement of extreme dark and bright intensity regions in an image is performed by a specifically designed Loca...

background: mammography is the primary imaging technique for detection and diagnosis of breast cancer; however, the contrast of a mammogram image is often poor, especially for dense and glandular tissues. in these cases the radiologist may miss some diagnostically important microcalcifications. in order to improve diagnosis of cancer correctly, image enhancement technology is often used to enha...

This paper presents a new automatic image enhancement method by modifying the gamma value of its individual pixels. Most of existing gamma correction methods apply a uniform gamma value across the image. Considering the fact that gamma variation for a single image is actually nonlinear, the proposed method locally estimates the gamma values in an image using support vector machine. First, a dat...

corresponding Author: Manisha 1 Image improvement is one of the important image processing capabilities. It can be used to transform one image to another to improve the view of it for human viewers, or to extract finer details of images which may provide better input for other automated image analysis systems. Image improvement is considered as an optimization problem. We can use particle swarm...

Spatially adaptive intensity bounds on the image estimate are shown to be an effective means of regularising the ill-posed image restoration problem. For blind restoration, the local intensity constraints also help to further define the solution, thereby reducing the number of multiple solutions and local minima. The bounds are defined in terms of the local statistics of the image estimate and ...

Low contrast in mammographic image has always made detection of subtle signs such as the presence of micro calcification within dense tissue a challenge. Therefore, numerous researches have been conducted on contrast enhancement technique for mammographic image. However, most of these methods focus on enhancing specific range of intensity level producing an enhanced version of the original imag...

A new digital halftoning technique based on multiscale error diffusion is examined. We use an image quadtree to represent the difference image between the input gray-level image and the output halftone image. In iterative algorithm is developed that searches the brightest region of a given image via "maximum intensity guidance" for assigning dots and diffuses the quantization error noncausally ...

A forward model-based algorithm for reconstructing images from Fourier domain measurements is described. The model accurately treats broadening of the Fourier domain sampling function resulting from finite aperture size and spectral bandwidth. The forward modeling approach also allows weighting of measurements according to their individual signal-to-noise ratios (SNRs), and injection of a prior...

We present a generalized optimal transport model in which the mass-preserving constraint for the L-Wasserstein distance is relaxed by introducing a source term in the continuity equation. The source term is also incorporated in the path energy by means of its squared L-norm in time of a functional with linear growth in space. This extension of the original transport model enables local density ...