Blind image deblurring is a long-standing challenging problem to improve the sharpness of an as prerequisite step. Many iterative methods are widely used for image, but care must be taken ensure that have fast convergence and accuracy solutions. To address these problems, we propose gradient-wise step size search strategy achieve robustness accelerate process. We further modify conjugate gradie...

Relative growth intensity of various longitudinally measured body segments in larvae of several species of fishes was distributed across the body in a continuous, U-shaped gradient. Juveniles lacked a simple pattern ofgrowth but appeared to grow nearly isometrically. Body depth exhibited a shallow, U-shaped gradient while body width lacked a discernible pattern. Most intense growth, in three or...

Sobolev gradient is defined and a simple example is given. A number of applications are described. A number of problems are stated, some of which are open problems for research.

Changing lighting conditions cause temporal variations of image intensities and make most existing motion estimation techniques ineffective. As a solution to this problem, we use gradient orientation information, which depends very little on changes of image intensities, in place of commonly used image features such as intensities and gradients. By employing gradient orientation, two convention...

The Horn-Schunk algorithm (HS) is one of the classical algorithms in optical flow due to its reasonable performance and simplicity of the algorithm. This article presents in detail the process of the HS algorithm and its step by step coding in MATLAB ® . The HS algorithm is a technique used to identify the image velocity or motion vector based on Spatial Temporal Gradient Technique which comput...

We propose a color-aware regularization for use with gradient domain image manipulation to avoid color shift artifacts. Our work is motivated by the observation that colors of objects in natural images typically follow distinct distributions in the color space. Conventional regularization methods ignore these distributions which can lead to undesirable colors appearing in the final output. Our ...

We present a new technique for image contrast enhancement via multiscale gradient transformation. In contrast to histogram-based techniques which aim to change the global statistical distribution of pixel intensities, we improve image contrast by modifying the modulus of the gradient image at multiple scales. In computation, a multiscale gradient representation of the image is generated by a wa...