Late enhancement imaging is used to diagnose and characterize a wide range of ischemic and nonischemic cardiomyopathies, and its use has become ubiquitous in the cardiac MR exam. As the use of late enhancement imaging has matured and the span of applications has widened, the demands on image quality have grown. The characterization of subendocardial MI now includes the accurate quantification o...

AO has achieved success in a range of applications in ophthalmology where microstructures need to be identified, counted, and mapped. Multiple images are averaged to improve the SNR or analyzed for temporal dynamics. For small patches, image registration by cross-correlation is straightforward. Larger images require more sophisticated registration techniques. Strip-based registration has been u...

Image enhancement plays a vital role in digital image processing. It is a technique used for the adjustment of digital images. It is one of the important vision applications because it has capability to enhance the visibility of images. It is used to improve the quality of poor pictures. For improving the quality of the digital images distinctive procedures have been proposed so far. Image Enha...

With the continuous development of computer science and technology, the field of Image processing is considered as a very active area of research. Digital Image Processing refers to processing of digital images by means of digital computer. The aim is to produce digital images with better contrast and hidden details. For this purpose, Image Enhancement techniques that process an input image so ...

The paper briefly reviews the historical background of dielectric resonator antenna and its bandwidth enhancement techniques. The main focus is on a compact DRA that can offer broad band operation. It has been illustrated that dual resonance and multi resonance operation can be much effective to give wide band characteristics of DRA. Index Terms dielectric resonator antenna, broadband, multi re...

Image enhancement is a mean as the improvement of an image appearance by increasing dominance of some features or by decreasing ambiguity between different regions of the image. Image enhancement processes consist of a collection of techniques that seek to improve the visual appearance of an image or to convert the image to a form better suited for analysis by a human or machine. Many images su...

It has been observed that stretching of the Image may damage the clarity in many Image Processing applications. Edge and Textures are among the most important features of an image. They have however very different characteristics, suggestions that they should be enhanced using different techniques. For edges, we propose a sobel techniques and finding the edge of all objects .For textures we hav...

Over the past two decades, intrinsic MOSFET delay has been scaled commensurate with the scaling of the dimensions. To extend this historical trend in the future, careful analysis of what determines the transistor performance is required. In this work, a new delay metric is first introduced that better captures the interplay of the main technology parameters, and employed to study the historical...

Liver cancer is the sixth most common malignant tumour and the third most common cause of cancer-related deaths worldwide. Chronic Liver damage affects up to 20% of our population. It has many causes viral infections (Hepatitis B and C), toxins, genetic, metabolic and autoimmune diseases. The rate of liver cancer in Australia has increased four-fold in the past 20 years. For detection and quali...

This paper has discuss the various techniques for image enhancement i.e histogram equalization, Brightness preserving bi-histogram equalization(BBHE), Dualistic Sub-Image Histogram Equalization (DSIHE), Minimum Mean Brightness Error Bi-HE Method (MMBEBHE), Recursive Mean –Separate HE Method (RMSHE),Mean brightness preserving histogram equalization(MBPHE).As well as it represents the comparison ...