On Image Compression Techniques Evaluation in The Digital Xylarium System

Deden Sumirat Hidayat, Lindung Parningotan Manik, Yulia Aris Kartika, Esa Prakasa, Bambang Sugiarto, Yan Rianto, Ratih Damayanti, Krisdianto, Listya Mustika Dewi

Abstract: Indonesia is a very rich country in tree species that grows in the forest. The forest area has ± 4,000 wood species, about 1,044 timbers have now been traded. The Xylarium Bogoriense 1915, which is the biggest wood library in the world with 193,858 specimens (October 2018), has been collected from all regions in Indonesia since 1914. The collections currently are being digitalized to manage these diversities in a structured manner. Besides that, the images are also used to improve the automatic wood identification system. This paper evaluates the compression techniques that are used in the digital xylarium system to reduce data storage and to speed up data transmission. Other than the time consumption and the result size of the compression, three quality metrics such as SSIM, MSE, and PSNR are also measured.