Side information-driven image coding for hybrid machine–human vision by Zhongpeng Zhang, Ying Liu, Wen-Hsiao Peng

“…We propose a side information-driven image coding for hybrid machine–human vision (SICMH) framework, not only for machine vision tasks, but also for human vision-oriented image reconstruction. …”
Get full text

Analysis of the Virtual Reality User Experience Improvement Through Human Vision Adjustment Using Diopter Dial by Sungeun Park, Wooksung Kim, Jihyung Kim

Subjects: Get full text

Research on the robustness of convolutional neural networks in image recognition by Dian LIN, Li PAN, Ping YI

Subjects: Get full text

Applicability of a computer retinal model for scale-dependent investigation of legibility problems by Gábor Dömötör, András Horváth

Subjects: Get full text

Inter layer up-sampling filtering scheme applied in SVC by WANG Zhang1, LIU Jian2, YAN Guo-ping2

Subjects: Get full text

HEVC perceptual intra-frame rate control inspired by video subjective observation experiment by Yanchao GONG, Ling WANG, Ying LIU, Kaifang YANG, Qingfan LIN, Fuping WANG

Subjects: Get full text

A human visual cognitive mechanism based network for surface defect detection(基于人类视觉认知机制的表面缺陷检测) by 崔丽莎(CUI Lisha), 代润鹏(DAI Runpeng), 姜晓恒(JIANG Xiaoheng), 李飞蝶(LI Feidie), 陈恩庆(CHEN Enqing), 徐明亮(XU Mingliang)

Subjects: Get full text

HVS-based imperceptibility measure of watermark in watermarked color image by YANG Hong-mei, LIANG Yong-quan, LIU Lian-shan, JI Shu-juan

“…The masking of frequency, luminance, texture and color on human vision were analyzed. Based on the color masking and Watson’s JND（just noticeable differences） model, a calculation method of JNCD（just noticeable color differences） for color image was proposed. …”
Get full text

An ultraviolet image enhancement algorithm in Curvelet domain based on human visual characteristics by Bin ZHANG, Peng,YUANJie WU, Lingqing SUN, Qiming FU, Yongze ZHANG, Yu LU

“…Aiming at the characteristics such as low contrast,unclear imaging,over-dark or over-bright overall imaging and noise interference in ultraviolet image itself,a Curvelet domain ultraviolet image enhancement algorithm was proposed based on the masking characteristics of human vision.Firstly,the ultraviolet image information was decomposed to different scales and direction sub-bands by Curvelet transform.Secondly,the HVS model was established according to each sub-band,and with its masking characteristics,the nonlinear gain of the high frequency component was used to improve the image contrast.Meanwhile,the low frequency component of nonlinear grayscale stretching could improve the overall brightness of the image.Finally,the processed high and low frequency components were reconstructed by Curvelet backward to obtain enhanced ultraviolet images.The experimental results show that the enhanced image accords with the extraction of image information from human vision and highlights the contour information of edge and target.In addition,it has obvious effect in subjective vision and quantitative index.…”
Get full text

Sensors and Advanced Sensing Techniques for Computer Vision Applications by Christos-Nikolaos Anagnostopoulos, Stelios Krinidis

“…Computer vision is a multidisciplinary field that enables machines to interpret and understand visual information from the world, simulating human vision [...]…”
Get full text

ANALYSIS OF CONTROL METHODS FOR LED BACKLIGHTING OF DISPLAY DEVICES by D. V. Chistobaev, E. A. Krasnobaev

“…An analysis of the perception of pulsed light sources by human vision is given. Recommendations are given for choosing the frequency of LED-backlighting, information of visible flickering to the minimum level, the use of a direct current of LED power supply. …”
Get full text

Image information measurement for video retrieval by Qing-sheng YUAN, Dong-ming ZHANG, Guo-qing JIN, Fei LIU, Xiu-guo BAO

“…And, performance evaluation method was designed and many experiments were carried out, proving SEII coordinates with human vision evaluation.Also,SEII is evaluated in a real video retrieval system,which shows increase about 4.4% of mAP with 1.5 times speedup.…”
Get full text

Machine vision technology,standardization,and application in safety industry by Yuan ZHANG, Huifen WANG, Hanming WANG

“…The technology and standardization of machine vision were focused on,and the attributes and relations of machine vision,computer vision,and human vision were analyzed.The machine vision related technologies and typical applications such as network information,security intelligent surveillance and intelligent transportation were introduced,as well as the latest development of international and domestic mainstream SDOs of machine vision technology,system and service.The development of the core machine vision technology,video coding for machine vision standards in VCM and DCM,and machine vision systems and application SDOs were elaborated.On this basis,the future development trend of machine vision technology and standardization was analyzed.…”
Get full text

The Interface Between the Written and the Oral in lfa Corpus by Omotade Adegbindin

“…The paper shows how lfa as a complete philosophy puts a premium on the need to bring individual views in oral and written cul­tures together to enhance a wider human vision in matters bordering on the intellectual configuration of our human society. …”
Get full text

Perceptual Mapping-Based Image Tamper Detection and Recovery Algorithm by Taha Basheer Taha, Ruzelita Ngadiran, Dujan B. Taha

“…The intensity of the hiding was decided using a perceptual map that simulates the human vision system and adds more intensity in areas where the human eye cannot recognize changes. …”
Get full text

An Integrative Approach to Accurate Vehicle Logo Detection by Hao Pan, Bailing Zhang

“…A fast and reliable vehicle logo detection approach is proposed following visual attention mechanism from the human vision. Two prelogo detection steps, that is, vehicle region detection and a small RoI segmentation, rapidly focalize a small logo target. …”
Get full text

SCRD-Net: A Deep Convolutional Neural Network Model for Glaucoma Detection in Retina Tomography by Hua Wang, Jingfei Hu, Jicong Zhang

“…Early and accurate diagnosis of glaucoma is critical for avoiding human vision deterioration and preventing blindness. …”
Get full text

Pattern memory cannot be completely and truly realized in deep neural networks by Tingting Li, Ruimin Lyu, Zhenping Xie

“…Inspired by perceptual characteristics of human vision on optical illusions, we propose a novel working capability analysis framework for DNNs through innovative cognitive response characteristics on visual illusion images, accompanied with fine adjustable sample image construction strategy. …”
Get full text

Multichannel Saliency Detection Based on Visual Bionics by Lidan Cheng, Tianyi Li, Shijia Zha, Wei Wei, Jihua Gu

“…Then, the global feature saliency of RGB image was calculated according to the colour perception rule of human vision. The obtained multichannel saliency maps were weighted and fused based on information entropy to highlighting the target area and get the final detection results. …”
Get full text

Improvement of CRF-Based Saliency Detection Algorithm Using Matrix Decomposition Based Features by Mohammad Shouryabi, Mohammad Javad Fadaeieslam

“…One of the most important processing steps in the human vision system is the detection of a scene saliency map. …”
Get full text