improving the quality of medical images at pre and post-surgery operations are necessary for beginning and speeding up the recovery process. partial differential equations (pdes)-based models have become a powerful and well known tool in different areas of image processing such as denoising, multiscale image analysis, edge detection and other fields of image processing and computer vision. in t...

Image enhancement aims at improving the quality of image for better visualization. This paper presents three methods of image enhancement: GHE, LHE and DSIHE that improve the visual quality of images. In this paper, we implement and examine the effect of above mentioned techniques based on objective and subjective image quality parameters (like PSNR, NAE, SC, AE and MOS) to measure the quality ...

We present a MR image segmentation algorithm based on the conventional Expectation Maximization (EM) algorithm and the multiresolution analysis of images. Although the EM algorithm was used in MRI brain segmentation, as well as, image segmentation in general, it fails to utilize the strong spatial correlation between neighboring pixels. The multiresolution-based image segmentation techniques, w...

Conventional microscopy, electron microscopy, and imaging techniques such as MRI and PET commonly generate large stacks of images of the sectioned brain. In other domains, such as neurophysiology, variables such as space or time are also varied along a stack axis. Digital image sizes have been progressively increasing and in virtual microscopy, it is now common to work with individual image siz...

The image content detectability and image structure preservation are closely related concepts with undeniable role in image quality assessment. However, the most attention of image quality studies has been paid to image structure evaluation, few of them focused on image content detectability. Examining the image structure was firstly introduced and assessed in Structural SIMilarity (SSIM) measu...

For patient setup of the IGRT technique, various imaging systems are currently available. MV portal imaging is performed in identical geometry with the treatment beam so that the portal image provides accurate geometric information. However, MV imaging suffers from poor image contrast due to larger Compton scatter photons. In this work, an original image processing algorithm is proposed to impr...

In modern development, the world is imposing need of quality or correct information of images out of the poor contrast and distorted images. The image enhancement techniques are becoming global research phenomenon. In this paper a review of different image enhancement techniques were studied and presented. The scope and advantages of these enhancement techniques were discussed. The critical pro...

In this work is presented a method for the optimization of digital correlators to improve the characteristic detection on images using wavelet transform as well as subband filtering. It is proposed an approach of wavelet-based image contrast enhancement in order to increase the performance of digital correlators. The multiresolution representation is employed to improve the high frequency conte...

Data fusion technique is a powerful tool for extracting higher quality information from large amount remote sensing images and eliminating redundancy among these images. There are many image fusion methods so far, such as IHS, PCA, WT, GLP, etc. Among these methods WT and GLP methods can preserve more images’ spectral characters than others. Traditional multiresolution analysis image fusion met...

Image enhancement is used in a verity of application for extracting the information from selected images. Image enhancement techniques provide a multitude of choices for improving the visual quality of images. Color image enhancement technique has been effective vision system for agriculture domain. It is a method for modifying images to reduce the effects of noise, blurring and distortion of t...