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...

up to 19% of breast malignancies may be missed by conventional imaging techniques, especially when they are concurrent or co-located with other benign lesions. however, more sensitive techniques, such as magnetic resonance imaging (mri), are often too expensive for routine use in developing countries. contrast-enhanced, dual-energy digital mammography (cesm) is a recently introduced imaging mod...

This paper presents a new filtering approach based on fuzzy-logic which has high performance in mixed noise environments. This filter is mainly based on the idea that each pixel is not allowed to be uniformly fired by each of the fuzzy rules. In the proposed filtering algorithm, the rule membership functions are tuned iteratively in order to preserve the image edges. Several test experiments we...

Due to the absorption and scattering effects of water, underwater images tend suffer from many severe problems, such as low contrast, grayed out colors blurring content. To improve visual quality images, we proposed a novel enhancement model, which is trainable end-to-end neural model. Two parts constitute overall The first one non-parameter layer for preliminary color correction, then second p...

Computed tomography (CT) is used to diagnose diseases and tumors. A special dye called contrast material in CT scans assist emphasize the parts of body being examined. Therefore, an enhancement technique improve images' degradation needed. This paper aims present a method enhance quality Ct-Scan images based on discrete wavelets transform Retinex algorithm. The proposed methods are algorithm pa...