The major aim of designing visual communication systems is to use the least resources to achieve the highest visual quality with respect to certain constraints such as bit rate, complexity, and maximum delay. In most circumstances, the human visual system (HVS) makes final evaluation on the quality of images and video that are processed, transmitted, and displayed. Thus, it is essentially futile to spend significant effort on encoding those signals that are beyond the human perception by application of visual masking model that estimates the masking effect of the HVS. This study aims to explore the possibility of a computerised visual communication systems using Just Noticeable Distortion (JND), which accounts for the maximum distortion that the HVS does not perceive, which serves as a perceptual threshold to guide an image/video processing task. This goal was achieved by using b Model, Visual Attention Model and Weighted JND. This study also built the system in a robust manner so that it would utilize the masking model in determining the important level of each of the pixels, and this information is then in application specific processing.
Published In:IJCSN Journal Volume 9, Issue 4
Date of Publication : August 2020
Pages : 211-216
Tables : --
Dr Valerian Agbasonu :
has a PhD in Computer Science and a Senior Lecturer, Computer Science Department of Imo State University, Owerri, Nigeria.
Dr Amanze Ikwu :
is a trained Physician who works at University Hospitals Plymouth NHS Trust, United Kingdom. He has published 10 research work in reputable international journals. He is an astute scholar with interest in cardiovascular diseases, emerging infectious diseases, digital technology application in medicine, telemedicine advancement in Africa, arrhythmia, geriatric medicine and E-Health. He holds an MBBS certificate and Fellowship of the Medical College of Physicians in Internal Medicine/Cardiology.
Dr Emmanuel Ekwonwune :
has a PhD in Computer Science and a Senior Lecturer, Department of Computer Science, Imo State University, Owerri, Nigeria.
Ezenwa Nwawudu :
is a highly skilled IT professional and entrepreneur with the capacity for leadership and championing business growth. He is an astute scholar with interest in Internet of Things (IoT), Smart Technologies, Biometric Systems, Digital Inclusion, Telemedicine and E-Health, etc.
He holds Master degree in Science, Technologies and Health with specialisation in Optics, Image, Vision and Multimedia from Université Paris-Est, Creteil (UPEC), France.
Ugochi Ikwu :
has certifications in CCNA Datacenter, CISCO WLAN Design Specialist, CCIE Data Center Written. He is a Senior Enterprise Engineer at Allergan USA, with over 22 years' experience in network designs, implementation and Data Center buildup.
This work explored the possibility of a computerised visual communication systems using Just Noticeable Distortion (JND). We demonstrated our experiment using b Model, Visual Attention Model and Weighted JND from a combination of various research papers that will give a relevance map of the image in terms of 8x8 pixel blocks. We also built the system in a robust manner so that it would utilize the masking model in determining the importance level of each of the pixels, and this information is then in application specific processing
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