Images are imitations of factual world substances. Processing it to get better visualization is called as image processing. With the increasing availability and decreasing cost of satellite imagery, the Remote sensing image enhancement, segmentation and classification has become the most important research issue in field of Remote sensing. In this proposed work, Land sat 7 Remote Sensing images...

The notion of a multiresolution support is introduced. This is a sequence of boolean images, related to signi cant pixels at each of a number of resolution levels. The multiresolution support is then used for noise suppression, in the context of image ltering, or iterative image restoration. Algorithmic details, and a range of practical examples, illustrate this approach.

Because of light scattered by the suspended particles in the atmosphere, photographs taken in the foggy day look gray and lack of visibility. In order to unveil the clear image’s structures and colors, we propose a image defogging algorithm of single color image based on wavelet transform and histogram equalization. Firstly, using histogram equalization to enhancement image, then to nonlinear e...

This paper presents an efficient method for image segmentation based on a multiresolution application of a wavelet transform and watershed segmentation algorithm. The procedure toward complete segmentation consists of four steps: pyramid representation, image segmentation, region merging and region projection. First, pyramid representation creates multiresolution images using a wavelet transfor...

In this paper we describe a multiresolution approach to edge detection using a sequential search algorithm. The use of a multiresolution image pyramid allows integration of global edge information contained in lower resolutions to guide the sequential search at higher resolutions. As a consequence, dependence on a priori knowledge about the image edges is greatly reduced. Estimating the sequent...

New pixeland region-based multiresolution image fusion algorithms are introduced in this paper using the Parameterized Logarithmic Image Processing (PLIP) model, a framework more suitable for processing images. A mathematical analysis shows that the Logarithmic Image Processing (LIP) model and standard mathematical operators are extreme cases of the PLIP model operators. Moreover, the PLIP mode...

In this paper, a no reference blur image quality metric based on wavelet transform is presented. As blur affects specially edges and image fine details, most blur estimation algorithms, are based primarily on an adequate edge detection methods. Here we propose a new approach by analyzing edges through a multi-resolution decomposition. The ability of wavelets to extract the high frequency compon...

Problem statement: Various images are low quality and difficultly to detect and extract information. Therefore, the image has to get under a process called image enhancement which contains an aggregation of techniques that look for improving the visual aspect of an image. Medical images are one of the fundamental images, because they are used in more sensitive field which is a medical field. Th...

The redundancy of the multiresolution representation has been clearly demonstrated in the case of fractal images, but it has not been fully recognized and exploited for general images. Fractal block coders have exploited the self-similarity among blocks in images. We devise an image coder in which the causal similarity among blocks of different subbands in a multiresolution decomposition of the...