Image fusion is the combination of two or more different images to form a new image by using a certain algorithm. Image fusion is a process of generating a single fused image using a set of input images which are assumed to be registered. Input images could be multi sensor, multimodal, multi focal or multi temporal .Image Enhancement is to process the input image in such a way that the output i...

In this paper, we describe a technique to automatically enhance the perceptual quality of an image. Unlike previous techniques, where global statistics of the image are used to determine enhancement operation, our method is local and relies on local scene descriptors and context in addition to high-level image statistics. We cast the problem of image enhancement as searching for the best transf...

The Hybrid technique that combines the Wavelet Transformation and Block Truncation Coding is a new framework proposed for fingerprint image compression. The proposed technique includes image enhancement system, forward DWT, encoding system, decoding system and inverse DWT. Image enhancement techniques like histogram equalization and wiener filtering has been performed on the image before Wavele...

In the collection, transmission, decoding process, the images are likely to produce noise. Noise makes the image color distorted and the articulation dropped, and also affects the image quality. Due to different causes, there are different types of noise, and the impulse noise is most common among them which exert great influence on the image quality. This paper, according to the characteristic...

Image denoising is an important concept in image processing for improving the quality. It difficult to remove noise from images because of various causes noise. Imaging made up many different types noise, including Gaussian, impulse, salt, pepper, and speckle Increasing emphasis has been paid Convolution Neural Networks (CNNs) denoising. researched using a variety CNN approaches. For evaluation...

Background High-resolution late gadolinium enhancement (LGE) MRI is used to assess fibrosis of the left atrium (LA) and visualize post-ablation scar in patients with atrial fibrillation (AF). Only few centers with advanced expertise in cardiac MR (CMR) have shown successful and good quality LGE-MRI of the LA. In this work, we assess the dependence of image quality of LGE images on the number of...

In this paper, contrast enhancement of dark image using Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) coefficients is proposed. Then the contrast enhancement is obtained by applying Dynamic Stochastic Resonance (DSR).The goal of dark image enhancement is to clearly visualize the features of the image. Two different coefficients DCTand DWT are used for implementing contras...

This paper proposes a new method for image enhancement by incorporating the concept of guided image filter and wavelet based edge detection. Guided image filter is a spatial domain filter performs the filtering by considering the content of the guidance image, which can be the input image itself or another different image. Guided image filter has no gradient distortion and better performance ne...

K. Natarajan Assistant Professor, Department of Computer Science, AVC College(Autonomous), Mannampandal, Tamilnadu, India. ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract Image enhancement is one of the preprocessing step in various computer vision applications. It is the process of improving th...

This chapter deals with digital restoration, preservation, and data base storage of historical manuscripts images. It focuses on restoration techniques and binarization methods combined with image processing applied on document images for text background enhancement and discrimination. Sequential image processing procedures are applied for image refinement and enhancement on quality class categ...