The inverse source problem for oneand two-dimensional coherently radiating sources is studied within the framework of generalized holographic imaging. It is shown that the image field produced from a generalized hologram of a one-dimensional source contains a complete description of the source. For such sources, structure larger than one-half wavelength is accurately imaged, whereas information...

We present an efficient way to generate the inverse synthetic aperture radar (ISAR) image of a target at an arbitrary aspect angle using the shooting and bouncing ray (SBR) method, which is much faster than the conventional approach by inverse Fourier transforming the computed scattered fields over frequency and aspect domain. We propose a general image-domain ray-tube integration formula, whic...

In geometrical camera calibration the objective is to determine a set of camera parameters that describe the mapping between 3-0 reference coordinates and 2 0 image coordinates. Various methods for camera calibration can be found from the literature. Howevel; surprisingly little attention has been paid to the whole calibration procedure, i.e , control point extraction from images, model Jitting...

Image compression is the application of Data compression on digital images. The discrete cosine transform (DCT) is a technique for converting a signal into elementary frequency components. It is widely used in image compression. Here we develop some simple functions to compute the DCT and to compress images. An image compression algorithm was comprehended using Matlab code, and modified to perf...

With some modifications, we adopt the coding/decoding method of image processing based on the direct and inverse fuzzy transforms defined in previous papers. By normalizing the values of its pixels, any image can be considered as a fuzzy matrix (relation) which is subdivided in submatrices (possibly square) called blocks. Each block is compressed with the formula of the discrete fuzzy transform...

Generative Adversarial Net has shown its great ability in generating samples. The inverse mapping of generator also contains a great value. Some works have been developed to construct the inverse function of generator. However, the existing ways of training the inverse model of GANs have many shortcomings. In this paper, we propose a new approach of training the inverse model of generator by re...

Image denoising is the most fundamental image enhancement task, and many algorithms have been proposed over the years for its solution. Interestingly, such an image denoising “engine” can be used to solve general inverse problems. Indeed, in our recent work we have presented the Regularization by Denoising (RED) framework: using a denoising engine in defining the regularization of any inverse p...

Landmark-based thin-plate spline image registration is one of the most commonly used methods for non-rigid medical image registration and anatomical shape analysis. It is well known that this method does not produce a unique correspondence between two images away from the landmark locations because interchanging the role of source and target landmarks does not produce forward and reverse transf...

In this paper, we propose a novel method for image feature extraction, namely the twodimensional local graph embedding, which is based on maximum margin criterion and thus not necessary to convert the image matrix into high-dimensional image vector and directly avoid computing the inverse matrix in the discriminant criterion. This method directly learns the optimal projective vectors from 2D im...

Due to diffuse nature of light photons, Diffuse Optical Tomography (DOT) image reconstruction is a challenging 3D problem with a relatively large number of unknowns and limited measurements. AS a result, the computational complexity of the existing DOT image reconstruction algorithms remains prohibitive. In this work, we investigate an adaptive multigrid approach to improve the computational ef...