A robust model of the human visual system (HVS) would have a major practical impact on the difficult technological problems of transmitting and storing digital images. Although most HVS models exhibit similarities, they may have significant differences in predicting performance. Different HVS models are rarely compared using the same set of psychophysical measurements, so their relative efficac...

The Human Visual System (HVS) is a key part of the rendering pipeline. The human eye is only capable of sensing image detail in a 2◦ foveal region, relying on rapid eye movements, or saccades, to jump between points of interest. These points of interest are prioritised based on the saliency of the objects in the scene or the task the user is performing. These ”glimpses” of a scene are then asse...

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, we propose a new video watermarking algorithm based on the human visual system (HVS) properties to find effective locations in video sequences for robust and imperceptible watermarks. In particular, we define a new HVS-optimized global masking map for hiding watermark signals by combining the frequency masking, the spatial masking, and the motion masking effects of HVS. In this p...

Halftoning is the core algorithm governing most digital printing or imaging devices, by which images of continuous tones are converted to ensembles of discrete or quantum dots. It is through the human vision system (HVS) that such fields of quantum dots can be perceived almost identical to the original continuous images. In the current work, we propose a least-square based halftoning model with...

Halftoning is the core algorithm governing most digital printing or imaging devices, by which images of continuous tones are converted to ensembles of discrete or quantum dots. It is through the human vision system (HVS) that such fields of quantum dots can be perceived almost identical to the original continuous images. In the current work, we propose a least-square based halftoning model with...

Digital images can be compressed by using data compression processes with the aim of lessening image data redundancy and save or send out an efficient form of data. This is not an easy task because large volumes of data comprise an original image, requiring huge memory allocation and inconvenient transmission. In this paper, the Human Visual System-based Image Compression is reviewed based on s...

In this work, a watermarking algorithm is proposed using Genetic algorithm and discrete wavelet transformation. The algorithm proposed is to improve both robustness and fidelity of the watermarked image. Fuzzy Inference system is used to determine the embedding strength based on HVS properties of the image. To test the robustness different attacks are performed and the NC (Normalized cross corr...

It is a quite common that acquired images are noisy and image filtering is a necessary step to enhance them. Usually image filtering effectiveness is characterized in terms of MSE or PSNR although nowadays it is well understood that these criteria do not always correspond adequately to visual perception of processed images. Recently several new measures of image quality have been proposed. In p...

The small-loss criterion is widely used in recent label-noise learning methods. However, such a only considers the loss of each training sample mini-batch but ignores distribution whole set. Moreover, selection clean samples depends on heuristic data rate. As result, some noisy-labeled are easily identified as ones, and vice versa. In this paper, we propose novel yet simple method, which mainly...