Amal Punchihewa

Massey UniversityNew Zealand

Amal gained his BE, specializing in Electronics and Telecommunication with honours in 1986, ME from the Technical University of Eindhoven, The Netherlands in digital video signal processing. Amal, has worked in both academia and industry over the past twenty-seven years, including as a research engineer at the national television in Sri Lanka. In 1994 he became a senior lecturer at the University of Moratuwa, and then joined Massey University. His PhD was on framework for rapid evaluation of image and video compression artefacts objectively. His current research interests are objective assessment of compression artefacts and image processing for surveillance, distributed video coding, routing algorithms, cooperative communication for next generation networks, IPTV and its Quality of experience, implementation of signal processing algorithms in FPGA, signal processing for precision agriculture, multimedia communication and care of the elderly. Amal is a registered, chartered professional engineer, ITU-Expert, Senior Broadcast Consultant, fellow-IET, a professional member of IPENZ and a life member of the Sri Lanka Association for Advancement of Science. In 2000 he was awarded the Wimalasurendra award in recognition of the contribution he made to the broadcasting development by the Institution of Engineers Sri Lanka.

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Latest work with IntechOpen by Amal Punchihewa

Even though video compression has become a mature field, a lot of research is still ongoing. Indeed, as the quality of the compressed video for a given size or bit rate increases, so does users’ level of expectations and their intolerance to artefacts. The development of compression technology has enabled number of applications; key applications in television broadcast field. Compression technology is the basis for digital television. The “Video Compression” book was written for scientists and development engineers. The aim of the book is to showcase the state of the art in the wider field of compression beyond encoder centric approach and to appreciate the need for video quality assurance. It covers compressive video coding, distributed video coding, motion estimation and video quality.

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