Pixel to pixel correlations are first removed by subtracting a low-pass filtered copy of the image from the image itself. The result is a net data compression since the difference, or error, image has low variance, and the low-pass filtered image may be represented at reduced sample density. Further data compression is achieved by quantizing the difference image and repeating the encoding proce...

the main purpose of this study is to describe gender differences in body image and to explore the influences of some socio-psychosocial factors on it. the study has been conducted via survey method and data has been collected by self-administered questionnaire. the present statistical society was all students of the university of mazandaran in 2010. overall, 360 students were selected through a...

A method for image compression, adaptive difference compensation vector quantization using dynamic image block adjustment is proposed in this paper. Before image coding, this proposed method analyzes the similarity values between the encoding image sub-block and its 8-neighbor sub-blocks, then determines the encoding rule according to the similarity value and the preset threshold. If the simila...

An accurate and efficient model of human perception has been developed to control the placement of samples in a realistic image synthesis algorithm. Previous sampling techniques have sought to spread the error equally across the image plane. However, this approach neglects the fact that the renderings are intended to be displayed for a human observer. The human visual system has a varying sensi...

Considerable work has been conducted regarding the perceptibility of color differences for simple images such as uniform color patches. From this work comes such tools as the MacAdam ellipses. Less is known regarding color difference perceptibilitywhen complex images are involved. However, the proliferation ofdesktop publishing equipment and the increasingly technically elegant accompanying sof...

3D difference detection is the task to verify whether the 3D geometry of a real object exactly corresponds to a 3D model of this object. Detecting differences between a real object and a 3D model of this object is for example required for industrial tasks such as prototyping, manufacturing and assembly control. State of the art approaches for 3D difference detection have the drawback that the d...

It is well-known that one of the best waveletbased image compression techniques, called Wavelet Difference Reduction WDR, has both simple algorithm and comparative rate-distortion results comparing to other coders in the literature. In this paper, we propose an algorithm to enhance the performance of WDR coder in a very efficient way. The methodology is highly based on the context adaptive mode...

In this paper we present a low power temporal-difference image sensor with wireless communication capability designed specifically for imaging sensor networks. The event-based image sensor features a 64 64 pixel array and can also report standard analog intensity images. An ultra-wide-band radio channel allows to transmit digital temporal difference images wirelessly to a receiver with high rat...

In this paper, we describe a model of the human visual system (HVS) based on the wavelet transform. This model is largely based on a previously proposed model, but has a number of modifications that make it more amenable to potential integration into a wavelet based image compression scheme. These modifications include the use of a separable wavelet transform instead of the cortex transform, th...

In this paper we introduce Functional Difference Predictors (FDPs), a new class of perceptually-based image difference metrics that predict how image errors affect the ability to perform visual tasks using the images. To define the properties of FDPs, we conduct a psychophysical experiment that focuses on two visual tasks: spatial layout and material estimation. In the experiment we introduce e...