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Pregled bibliografske jedinice broj: 896149

Zbornik radova

Autori: Leventić, Hrvoje; Nenadić, Krešimir; Galić, Irena; Livada, Časlav
Naslov: Compression parameters tuning for automatic image optimization in web applications
Izvornik: Proceedings ELMAR-2016 / Muštra, Mario ; Tralić, Dijana ; Zovko-Cihlar, Branka (ur.). - Zagreb : LotusGRAF , 2016. (ISBN: 978-953-184-221-1).
ISSN: 1334-2630
Skup: 58th International Symposium ELMAR-2016
Mjesto i datum: Zadar, Croatia, 12-14.09.2016
Ključne riječi: Structural Similarity ; DSSIM ; Image compression ; Image optimization ; Mozjpeg
Sažetak:
Abstract: In this paper an automatic image optimization workflow for web applications is proposed. The workflow consists of several parts: a JPEG encoder, a perceptual visual quality metric (PVQM) and a system for automatic iterative compression of the images. The system for automatic compression iteratively compresses the image and tries to determine the highest compression rate for each image, without compromising the perceptual quality of the image. To evaluate the proposed PVQM parameter used for stopping the iterative compression, a study is performed where 155 users rated random selection from 559 versions of differently compressed images from a public dataset. All images are high quality images in high resolution, which makes them suitable for use in web applications. For JPEG encoder we evaluate very popular open source software package: mozjpeg from Mozilla. The results show which values of PVQM metric should be used to obtain a desired trade-off between compression ratio and subjective loss of quality.
Vrsta sudjelovanja: Predavanje
Vrsta prezentacije u zborniku: Cjeloviti rad (više od 1500 riječi)
Vrsta recenzije: Međunarodna recenzija
Izvorni jezik: ENG
Kategorija: Znanstveni
Znanstvena područja:
Računarstvo
Upisao u CROSBI: Časlav Livada (caslav.livada@etfos.hr), 4. Lis. 2017. u 08:41 sati



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