Estimating the captured image of moving robots is very difficult. These images are vital in analyzing earth's surface objects for many applications like studying environmental conditions, Land use and Cover changes, change detection studies worldwide change. Multispectral robot-captured have a massive amount low-resolution data, which lost due to lack capture efficiency artificial atmospheric r...

We introduce a nearly automatic procedure to locate and count the quantum dots in images of kinesin motor assays. Our procedure employs an approximate likelihood estimator based on a two-component mixture model for the image data; the first component has a normal distribution, and the other component is distributed as a normal random variable plus an exponential random variable. The normal comp...

We consider the problem of labeling connected components in a gray-scale image so that every component is connected, the maximum difference in the gray-scale values of the pixels within any component does not exceed a given value, and no component can be merged with a neighboring component. We develop two asymptotically optimal 0(n) time algorithms for generating such labelings on a mesh-connec...

A new method which is suitable for enhancing the color microscopic image quality based on HSV color space and curvelet transform is presented in this paper. The color microscopic image is firstly divided into hue, saturation and value components from RGB color space to HSV color space through the color space conversion. The value component is decomposed by the curvelet transform. A modulus squa...

With rapid advances in digital image processing technology, there is a massive development of sophisticated tools and techniques for digital image forgery. Copy-move forgery is one of the techniques most commonly used. A part of an image is copied and pasted into the same image, in order to maliciously hide or clone an object or a region. In this paper, we propose a method that addresses this k...