Visual perception, operating below conscious awareness, effortlessly provides the experience of a rich representation of the environment, continuous in space and time. Conscious visual perception is made possible by the 'foveal compromise,' the combination of the high-acuity fovea and a sophisticated suite of eye movements. Our illusory visual experience cannot be understood by introspection, b...

The human eye has limited sensitivity to receive the visual information. The colour images possess a certain amount of perceptual redundancy 1 . The human visual system describes the way of human eye’s process toward image and how to relays it to the brain. By taking the advantages of some human eye’s properties, data redundancy can be removed without seriously degrading the image quality. In g...

Although most demosaicking methods assume the existence of high local correlation in estimating the missing color components, such an assumption may fail for images with high color saturation and sharp color transitions. This paper presents a demosaicking scheme by exploiting both the variance of color differences (VCD) and the non-local similarity. First, the missing green components are estim...

The effects of time and temperature over the color of freshly brewed Indian tea liquor using spectrophotometer were evaluated. The study suggests that after brewing, the tea samples undergo a color change which was measured in CIE L*a*b* color model. To find out the temperature effects, the experiment was done under two conditions i.e. normal cooling and imposed cooling of the sample to room te...

Color is a critical part of objects representation as well as critical cue for recognizing objects. However, it is less clear how people represent color in memory. The present study aimed at investigating this issue. We designed a procedure based on short-term sensory memory load procedure mixed with a color-priming paradigm. Participants learned three visual stimuli (either non-words – lexical...

In this paper, a denoising approach, which exploits patchredundancy for removing Gaussian noise from RGB color images is described. Both geometrical and photometrical similarity of image patches have to be considered for learning the parameters of this Patch-based Locally Optimal Weiner(PLOW) filer. K-means clustering,with LARK(Locally Adaptive Regression Kernel) features, is used to identify t...

This paper proposes an approach for the segmentation of color images using CIELab color space and Ant based clustering. Image segmentation is the process of assigning a label to every pixel in an image such that pixels with the same label share certain visual characteristics. The objective of segmentation is to change the image into meaningful form that is easier to analyze. This paper elaborat...

To a significant degree, multimedia applications derive their effectiveness from the use of color graphics, images, and videos. In these applications, human visual system (HVS) often gives the final evaluation of the processed results. In this paper, we first propose a novel color image enhancement method, which is named HVS Controlled Color Image Enhancement and Evaluation algorithm (HCCIEE al...

In this paper, a denoising approach, which exploits patchredundancy for removing Gaussian noise from RGB color images is described. Both geometrical and photometrical similarity of image patches have to be considered for learning the parameters of this Patch-based Locally Optimal Weiner(PLOW) filer. K-means clustering,with LARK(Locally Adaptive Regression Kernel) features, is used to identify t...