Compression parameters tuning for automatic image optimization in web applications (CROSBI ID 652567)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Leventić, Hrvoje ; Nenadić, Krešimir ; Galić, Irena ; Livada, Časlav
engleski
Compression parameters tuning for automatic image optimization in web applications
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.
Structural Similarity ; DSSIM ; Image compression ; Image optimization ; Mozjpeg
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Podaci o prilogu
2016.
objavljeno
Podaci o matičnoj publikaciji
Proceedings ELMAR-2016
Muštra, Mario ; Tralić, Dijana ; Zovko-Cihlar, Branka
Zagreb:
978-953-184-221-1
1334-2630
Podaci o skupu
58th International Symposium ELMAR 2016.
predavanje
12.09.2016-14.09.2016
Zadar, Hrvatska