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A new speckle reduction algorithm is presented in this paper to improve the visualization of synthetic aperture radar (SAR) images. The algorithm contains two steps. First, we propose a speckle reduction filter. This filter use different smoothing effect according to scene of sub-window. So it can maintain the details while noise suppression. Second, we propose a method to enhance the details. We...
Face Super Resolution(FSR) is to infer High Resolution(HR) facial images from given Low Resolution(LR) ones with the assistance of LR and HR training pairs. Among existing methods, local patch based methods are superior in visual and objective quality than global based methods. These local patch based methods are based on the consistency assumption that the neighbors in HR/LR space form similar local...
By incorporating the priors that human face is a class of highly structured object, position-patch based face hallucination methods represent the test image patch through the same position patches of training faces by employing least square estimation or sparse coding. Due to they cannot provide unbiased approximations or ignore the influence of spatial distances between the test image patch and training...
Most state-of-the-art face hallucination approaches suffer from complicated learning patterns and highly intensive computation, which will lead to low efficiency and considerable computing resources. Therefore, how to restore real face image quickly and efficiently is still an important issue in this field. To solve or partially solve the problem, this paper proposed a novel facial standard deviation...
This paper describes a novel method for single-image super-resolution (SR) based on a neighbor embedding technique which uses coupled feature spaces under surveillance scenarios. For surveillance face images, traditional neighbor embedding SR approaches could not offer counterintuitive results because consistency between high resolution images and low resolution images is destroyed by serious noise...
Since a motion error is the main phase error source in the aircraft synthetic aperture (SAR), the motion errors have to properly be compensated during the SAR image reconstruction. The chirp scaling (CS) algorithm is one of the best algorithms in the practice system. An improved CS algorithm which can compensate motion error is proposed. Specially, the proposed method is based on the constant acceleration...
Dynamic textures are temporally continuous and infinitely varying sequences of images with certain spatial and temporal properties and have many potential applications. Such applications usually require dynamic texture segmentation that is not an easy task especially when the background is cluttered and textured. In this paper, we analyze the spatio-temporal slices of dynamic texture using Fourier...
According to the calibration of binocular vision, an improved two-stages camera calibration method involved with multi-distortion coefficients is introduced in this paper. It takes the sum of distance in the world coordinate between ground truth 3D points and calculated 3D points as cost function. The 3D points' coordinate are calculated by the imitated direct linear transformation (IDLT) triangulation...
Nowadays X-ray Nondestructive Testing ( NDT ) has played an important role in defect inspection but the X-ray image contains all the information the rays passed by, therefore, it is hard to inspect the inner defect of PCB correctly. The correct inspect is rely on an image reconstruction system. In this study, a X-ray image reconstruction algorism to inspect the defect in a Printed Circuit Board (...
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