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...

This paper proposes the use of an adaptive image enhancement system that implements the human visual (HVS) properties for the contrast enhancement of the X-Ray images. XRay images are of poor quality and usually interpreted visually. The HVS properties considered are the adaptive nature, multichannel, the highly non-linearity. The proposed method is adaptive, nonlinear, multichannel, and combin...

The HVS on FLAIR imaging is a useful marker of acute ischemic stroke. We investigated whether prior administration of gadolinium-based contrast hindered detection of this sign on images from subjects with acute nonlacunar ischemic stroke <4.5 hours after onset. Both blinded and comparative unblinded analyses showed significantly reduced HVS detection on postcontrast images. We suggest that asse...

in this paper, we introduce a multiresolution watermarking method for copyright protection of digital images. the method is based on the discrete wavelet transform. a noise type gaussian sequence is used as watermark. to embed the watermark robustly and imperceptibly, watermark components are added to the significant coefficients of each selected subband by considering the human visual system (...

A major challenge in text mining for biomedicine is automatically extracting protein-protein interactions from the vast amount of biomedical literature. We have constructed an information extraction system based on the Hidden Vector State (HVS) model for protein-protein interactions. The HVS model can be trained using only lightly annotated data whilst simultaneously retaining sufficient abilit...

BACKGROUND Although models exist for predicting hospital readmission after coronary artery bypass surgery, no such models exist for predicting readmission after heart valve surgery (HVS). METHODS AND RESULTS Using a geographically and structurally diverse sample of US hospitals (Premier Inpatient Database, January 2007-June 2011), we examined patient, hospital, and clinical factors predictive...

We describe the implementation of a biologically motivated model of the human visual system (HVS) on the Paragon XP/S. The approach involves the simulation of the two major pathways (magno-(M), and par-vocellular (P)) of processing visual stimuli including (i) retinal sampling, (ii) active foveation and (iii) object recognition. Theory suggests a vision model based on the competition of active ...