Objective: The treatment of obesity besides weight loss will have numerous psychological effects. The obese patients have different body image, poor hope and quality of life that influence the process of their treatment. The aim of this study was to compare body image, quality of life and hope in obese women with diet therapy and obese women who are not under diet therapy. Materials and Method...

Background Adolescents, pay particular attention to their body image. Dissatisfaction with body image in people can lead to stress. Accordingly, this study aimed to investigate the effectiveness of group counselling on body image and coping strategies among adolescent girls. Materials and Methods This clinical trial study was conducted on 60 adolescent girls in Karaj City, Iran. The samples wer...

In this paper, we develop a common cellular neural network framework for various adaptive nonlinear filters based on robust statistic and geometry-driven diffusion paradigms. The base models of both approaches are defined as difference-controlled nonlinear CNN templates while the self-adjusting property is ensured by simple analogic (analog and logic) CNN algorithms. Two adaptive strategies are...

Tone mapping is the final step of every rendering process. Due to display devices’ nonlinearities, reduced color gamuts and moderate dynamic ranges it is necessary to apply some mapping technique on the computed radiances. We described mapping methods that are considered to be state of the art today, and some newly developed techniques. The main contributions of this thesis in tone mapping tech...

This paper presents an automatic method of medical image segmentation used inthe study of the Central Nervous System (CNS) by multilevel thresholding based on histogram difference. Our method produced a performance of an 88.6%, for the considered testing images, when the results where compared with those provided by a human expert. Keywordsmedical image, Magnetic Resonance Imaging (MRI), image ...

In this paper, we propose some relaxation methods that can be used to design very fast iteration schemes for image denoising based on the total variation model. By using certain techniques from convex optimization, we establish the convergence of the iteration schemes based on these relaxation methods. Furthermore, we provide some empirical formulas for the parameters needed in the denoising mo...

One of the main problems related to unsupervised change detection methods based on the “difference image” lies in the lack of efficient automatic techniques for discriminating between changed and unchanged pixels in the difference image. Such discrimination is usually performed by using empirical strategies or manual trial-and-error procedures, which affect both the accuracy and the reliability...

This paper presents a scalable image transmission scheme based on the wavelet-based coding technique supporting region of interest properties. The proposed scheme scalable WDR (SWDR), is based on the wavelet difference reduction scheme, progresses adaptively to get different resolution images at any bit rate required and is supported with the spatial and SNR scalability. The method is developed...

In this paper we introduce Functional Difference Predictors (FDPs), a new kind of perceptual image difference metric that captures how visible image errors affect a user’s ability to perform visual tasks in computer graphics applications. To develop the FDP concept, we conduct a psychophysical experiment that focuses on two visual tasks: spatial layout and material estimation. In the experiment...

This paper proposes a high capacity reversible image watermarking scheme based on enhancement of difference expansion method. Reversible watermarking enables the embedding of useful information in a host signal without any loss of host information. We propose an enhancement of Difference Expansion technique whereby we can embed recursively into multiple layer of payload for grey scale and also ...