the pioneer work of image compression/reconstruction based onfuzzy relational equations (icf) and the related works are introduced. theicf regards an original image as a fuzzy relation by embedding the brightnesslevel into [0,1]. the compression/reconstruction of icf correspond to thecomposition/solving inverse problem formulated on fuzzy relational equations.optimizations of icf can be consequ...

Introduction In dynamic micro-CT, the goal is to visualize the interior of a time-varying object at different points in time. If the scanned object is reconstructed without taking into account the object’s motion, the reconstructed image will be blurred. A standard approach to compensate for this motion is to incorporate a motion model in the reconstruction algorithm. The motion model can be es...

A variational Bayesian blind restoration reconstruction based on shear wave transform for low-dose medical computed tomography (CT) image is proposed. The proposed algorithm eliminates the effects of the point spread function in the process of low-dose medical CT image reconstruction and improves the reconstructed image quality. The shear wave transform is used to sparsely represent the CT imag...

The low spatial resolution of Electrical Impedance Tomography (EIT) makes it challenging to conduct quantitative analysis the electrical properties imaging targets in biomedical applications. We this paper propose integrate optical into EIT improve image quality and report a dual-modal reconstruction algorithm based on image-guided group sparsity (IGGS). IGGS receives an RGB microscopic measure...

Architectures for focal-plane image processing using CCD circuits are discussed. The choice of architecture depends on imager density and required throughput. High-density imagers require the reconstruction of local neighborhoods prior to image processing. Lower density imagers can utilize spatial parallelism to improve throughput. The use of three-dimensional structures can provide additional ...

The temperature information is of great significance to the study of flame structure, soot distribution and combustion mechanism. It is also vital to combustion control. This paper presents the design, implementation and evaluation of a flame imaging system based on optical sectioning method to reconstruct the steady state temperature field of candlelight. A 3-D luminous object can be regarded ...

There is presented an evolutionary approach to the problem of CT image reconstruc tion: a genetic algorithm is used to reconstruct a CT image from a limited number of projection data, where conventional methods (e.g. Algebraic Reconstruction Techniques ART) solution tends to be unsatisfactory. We use traditional as well as adapted genetic operators in our evolutionary ap proach to the CT image ...