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...

The objective of image fusion for medical images is to combine multiple images obtained from various sources into a single image suitable for better diagnosis. Most of the state-of-the-art image fusing technique is based on nonfuzzy sets, and the fused image so obtained lags with complementary information. Intuitionistic fuzzy sets (IFS) are determined to be more suitable for civilian, and medi...

Image Enhancement is one of the most significant and challenging techniques in image research. The goal of image enhancement is to increase the visual appearance of an image, or to deliver an “enhanced transform representation for forthcoming automated image processing. Many images like medical images, satellite images, aerial images and even real life photos suffer from poor contrast and noise...

In recent years, multiresolution techniques are increasingly being applied to image processing problems. Global features are quickly and e ciently extracted from images through these techniques. In this paper, we describe a robust image segmentation scheme that analyzes the histogram of a grayscale image using the idea of multiresolution. Our approach is di erent from most conventional multires...

This paper presents a new multiresolution segmentationbased algorithm for image compression. High quality low bit rate image compression is achieved by recursively coding the Binary Space Partitioning (BSP) tree representation of images with multilevel Block Truncation Coding (BTC). Comparison with JPEG at rates below 0.25 bit/pixel shows superior performance both in terms of Power Signal-to-No...

Ancient image enhancement algorithm based on Optimal Histogram Equalization and Fuzzy Enhancement techniques were discussed in this paper, in-order to overcome the problems of poor contrast and sharpness in low quality images. This proposed method consist of two stages :the first, the technique of image Smoothing, where we make use of optimal histogram equalization and fuzzy enhancement techniq...

In this contribution a new combination of methods for noise and artifact reduction is presented. The new noise reduction system has successfully been applied to magnetic resonace tomography (MRT) sequences. For this purpose a system which is based on a nonlinear bandsplitting has been elaborated and optimized. In order to cope with motion artifacts and with ghosting effects, the motion detectio...

Image enhancement is a process of improving the quality of image by improving its feature. Contrast enhancement is one of the challenging and interesting area of image processing. Image enhancement plays a vital role in medical images, aerial image, microscopic images, even real life photographs, all these suffers from poor contrast and noise. Uncertainty present in the images can be handled an...

In this paper, a general framework for image contrast enhancement algorithm based on an optimization problem is presented. Through this optimization, the intensities can be better distributed. The algorithm is based on the facts that the histogram of the enhanced image is close to the input image histogram and uniform distribution, simultaneously. Based on this fact, we obtain a closed form opt...

The quality of the fingerprint images greatly affects the performance of the minutiae extraction. In order to improve the performance of the system, many researchers have been made efforts on the image enhancement algorithms. If the adaptive preprocessing according to the fingerprint image characteristics is applied in the image enhancement step, the system performance would be more robust. In ...