scholarly journals A Seamless Image-Stitching Method Based on Human Visual Discrimination and Attention

2020 ◽  
Vol 10 (4) ◽  
pp. 1462
Author(s):  
Qingjie Cao ◽  
Zaifeng Shi ◽  
Pumeng Wang ◽  
Yang Gao
Keyword(s):  
Visual System ◽  
Human Visual System ◽  
Visual Discrimination ◽  
Image Stitching ◽  
Human Visual Perception ◽  
High Quality Image ◽  
Quality Image ◽  
Insight Into ◽  
Human Visual Attention ◽  
Mosaic Images

Stitching gaps and misalignments in mosaic images can severely degrade the human visual perception of mosaic effects. Image stitching plays a key role in eliminating these unpleasant defects. In this paper, an image-stitching method for mosaic images with invisible seams is proposed, according to the research on the human visual system (HVS). By quantifying the human visual attention of images and visual discrimination about luminance difference and fine dislocations, each pixel in the stitching region is given a priority value for tracing a stitching line. Coupled with the processing of an optimal stitching line locating method and the multi-band blending algorithm, the pixels of discontinuous items in mosaic images decrease significantly and the stitching line is almost invisible. This study provides a new insight into the image-stitching field, and the experiments show that the results of the proposed method are more consistent with the human visual system in creating high-quality image mosaics.

scholarly journals Analysis of visual perception features by corneal reflex components examination

2014 ◽  
Vol 95 (1) ◽  
pp. 82-86
Author(s):  
A R Shakurova
Keyword(s):  
Visual Perception ◽  
Visual System ◽  
Human Visual System ◽  
Experimental Studies ◽  
Interdisciplinary Approach ◽  
Human Visual Perception ◽  
Single Person ◽  
Corneal Reflex ◽  
Perception Process ◽  
Psychological Features

The article surveys the data of experimental studies in which the corneal reflex was used in the analysis of the visual perception process. Visual perception largely depends on the physiological characteristics of the human visual system, both individual and general. Blinking performs a number of functions, one of which is protection, including protection from unpleasant or undesired information. Blinking is closely related to the processes of concentration and disinterest. Blinking while watching a video is synchronized in single person and in a group of people watching the same video fragment. Blinking synchronization depends on the video plot; background video does not cause synchronization. Blinking synchronization is not gender specified. A longer duration of blinking is associated with a significant increase of the intervals between blinks. Accounting for these features of visual perception will allow to coordinate the work with video in several ways. First of all, it is an analysis of the reaction by monitoring the blinks while watching the video. Such analysis should contain a detailed and comprehensive decoding including electrophysiological, psychological and psychophysiological tools. Thus, the analysis of visual perception by studying the corneal reflex components requires an interdisciplinary approach and should be targeted to getting the results usable both for further studies of psychological features and principles of human visual perception and for further creation of most effectively perceived video.

Evaluation of the Human Visual System in Cosmetics Foundation Colour Selection

2020 ◽  
Vol 2020 (1) ◽  
pp. 60-64
Author(s):  
Altynay Kadyrova ◽  
Majid Ansari-Asl ◽  
Eva Maria Valero Benito
Keyword(s):  
Visual System ◽  
Human Visual System ◽  
Skin Tone ◽  
Skin Colour ◽  
Psychophysical Experiment ◽  
Spectral Measurements ◽  
Practical Applications ◽  
Subjective Evaluations ◽  
Colour Measurements ◽  
Colour Quantification

Colour is one of the most important appearance attributes in a variety of fields including both science and industry. The focus of this work is on cosmetics field and specifically on the performance of the human visual system on the selection of foundation makeup colour that best matches with the human skin colour. In many cases, colour evaluations tend to be subjective and vary from person to person thereby producing challenging problems to quantify colour for objective evaluations and measurements. Although many researches have been done on colour quantification in last few decades, to the best of our knowledge, this is the first study to evaluate objectively a consumer's visual system in skin colour matching through a psychophysical experiment under different illuminations exploiting spectral measurements. In this paper, the experiment setup is discussed and the results from the experiment are presented. The correlation between observers' skin colour evaluations by using PANTONE Skin Tone Guide samples and spectroradiometer is assessed. Moreover, inter and intra observer variability are considered and commented. The results reveal differences between nine ethnic groups, between two genders, and between the measurements under two illuminants (i.e.D65 and F (fluorescent)). The results further show that skin colour assessment was done better under D65 than under F illuminant. The human visual system was three times worse than instrument in colour matching in terms of colour difference between skin and PANTONE Skin Tone Guide samples. The observers tend to choose lighter, less reddish, and consequently paler colours as the best match to their skin colour. These results have practical applications. They can be used to design, for example, an application for foundation colour selection based on correlation between colour measurements and human visual system based subjective evaluations.

Objective Video Quality Method Based on Mutual Information and Human Visual System

2012 ◽  
Vol 58 (2) ◽  
pp. 147-152
Author(s):  
Michal Mardiak ◽  
Jaroslav Polec
Keyword(s):  
Mutual Information ◽  
Visual System ◽  
Human Visual System ◽  
Quality Evaluation ◽  
Video Quality ◽  
Evaluation Criteria ◽  
Test Sequence ◽  
Quality Metric ◽  
Two Stages ◽  
Video Quality Metric

Objective Video Quality Method Based on Mutual Information and Human Visual SystemIn this paper we present the objective video quality metric based on mutual information and Human Visual System. The calculation of proposed metric consists of two stages. In the first stage of quality evaluation whole original and test sequence are pre-processed by the Human Visual System. In the second stage we calculate mutual information which has been utilized as the quality evaluation criteria. The mutual information was calculated between the frame from original sequence and the corresponding frame from test sequence. For this testing purpose we choose Foreman video at CIF resolution. To prove reliability of our metric were compared it with some commonly used objective methods for measuring the video quality. The results show that presented objective video quality metric based on mutual information and Human Visual System provides relevant results in comparison with results of other objective methods so it is suitable candidate for measuring the video quality.

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