Toward high-quality image communications: inverse problems in image processing

Toward high-quality image communications: inverse problems in image processing

Inverse Problems in Image Processing

Inverse problems involve estimating parameters or data from inadequate observations; the observations are often noisy and contain incomplete information about the target parameter or data due to physical limitations of the measurement devices. Consequently, solutions to inverse problems are non-unique. To pin down a solution, we must exploit the underlying structure of the desired solution set....

Inverse Problems for Image Processing of Spatiotemporal Dynamical Systems

Optical flow is a classical problem in computer vision which was developed to determine the rigid body motion based on observed images. These concepts must be adapted for applications to other fields such as fluid mechanics and dynamical systems. Our approaches are based on an inverse problem formulation considering the physics of the observed density evolution and imposed prior knowledge of th...

Fragmentation measurement using image processing

In this research, first of all, the existing problems in fragmentation measurement are reviewed for the sake of its fast and reliable evaluation. Then, the available methods used for evaluation of blast results are mentioned. The produced errors especially in recognizing the rock fragments in computer-aided methods, and also, the importance of determination of their sizes in the image analysis ...

The Combinational Use Of Knowledge-Based Methods and Morphological Image Processing in Color Image Face Detection

The human facial recognition is the base for all facial processing systems. In this work a basicmethod is presented for the reduction of detection time in fixed image with different color levels.The proposed method is the simplest approach in face spatial localization, since it doesn’trequire the dynamics of images and information of the color of skin in image background. Inaddition, to do face...