Background: In eating disorders, a negative body image can be manifested in an overestimation of one’s own body dimensions (perceptive component), negative body-related thoughts and feelings (cognitive-affective component), and body avoidance and checking (behavioral component). Objective: This study examines whether these three components of a disturbed body image can be improved by means of a...

In this paper, a novel saliency theory based RR-IQA metric is introduced. As the human visual system is sensitive to the salient region, evaluating the image quality based on the salient region could increase the accuracy of the algorithm. In order to extract the salient regions, we use blob decomposition (BD) tool as a texture component descriptor. A new method for blob decomposition is propos...

The aim of infrared (IR) and visible image fusion is to generate a more informative for human observation or some other computer vision tasks. activity-level measurement weight assignment are two key parts in fusion. In this paper, we propose novel IR method based on the principal component analysis network (PCANet) an pyramid. Firstly, use lightweight deep learning network, PCANet, obtain imag...

Body image disturbance is a significant maintenance and prognosis factor in eating disorders. Hence, existing eating disorder treatments can benefit from direct intervention in patients' body image. No controlled studies have yet compared eating disorder treatments with and without a treatment component centered on body image. This paper includes a controlled study comparing Cognitive Behaviora...

Although high dynamic range (HDR) image and video are becoming common in many computer graphics applications, their data compression has received little attention so far. In this paper, we propose a practical approach to HDR video compression for efficient storage and fast transmission. Most current HDR images and videos are created from multiple exposures of the scene with varying exposures or...

This paper proposes an effective method to separate noise from multiple copy images (MCIs). Suppose that noise and original image are mutually independent in mixed signals, the mixed signals are thus decomposed to an original image independent component and a noise component by using fast independent component analysis (FastICA). The original image independent component is selected to reconstru...

In face recognition feature extraction and classification are the two aspects to be focused. In principle component analysis (PCA) based face recognition technique, the 2D face image matrices must be previously transformed in to one dimensional image vectors. In this paper two dimensional principle component analysis(2DPCA) is used to extract the features. Comparing to conventional principle co...