Quality Enhancement of DDBTC Decoded Image

dc.contributor.author	Simatupang, Joni Welman
dc.date.accessioned	2023-04-13T04:43:10Z
dc.date.available	2023-04-13T04:43:10Z
dc.date.issued	2019
dc.identifier.uri	http://repository.president.ac.id/xmlui/handle/123456789/11132
dc.description	2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS).	en_US
dc.description.abstract	This paper presents two methods for improving the quality of Dot Diffused Block Truncation Coding (DDBTC) decoded image. The first method exploits the usability and effectiveness of decimated Discrete Wavelet Transform and stationary Wavelet Transform for reducing the half-toning artifact. While, the second method employs the Vector Quantization (VQ) approach for performing the image patch replacement and suppressing the unpleasant artifact of DDBTC decoded image. As documented in Experimental Section, these two methods performs well for improving the quality of DDBTC decoded image.	en_US
dc.language.iso	en_US	en_US
dc.publisher	IEEE	en_US
dc.subject	dot diffused	en_US
dc.subject	image enhancement	en_US
dc.subject	vector quantization	en_US
dc.subject	wavelet	en_US
dc.title	Quality Enhancement of DDBTC Decoded Image	en_US
dc.type	Article	en_US