Medical images show a great interest since it is needed in various medical applications. In order to decrease the size of medical images which are needed to be transmitted in a faster way; Region of Interest (ROI) and hybrid lossless compression techniques are applied on medical images to be compressed without losing important data. In this paper, a proposed model will be presented and assessed...

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...

The quality of an image can be evaluated on its spatial and spatial-frequency resolutions. Image interpolation and super-resolution are perhaps the way to respectively produce high spatial and spatialfrequency resolutions of an image, especially for a down-sampled image. In this paper, we first address an approach to interpolating an image with noise removal by exploiting the probability filter...

This paper proposes a two dimensional quaternion valued singular spectrum analysis based method for enhancing the hyperspectral image. Here, enhancement is performing object recognition, but neither improving visual quality nor suppressing artifacts. In particular, components are selected in such way that ratio of interclass separation to intraclass pixel vectors maximized. Next, support vector...