crta
Hrvatska znanstvena Sekcija img
bibliografija
3 gif
 Home
 About the project
 FAQ
 Contact
4 gif
Browsing
Basic search
Advanced search
Statistical data
Other bibliographies
Similar projects
 Catalogues and databases

Bibliographic record number: 896149

Journal

Authors: Leventić, Hrvoje; Nenadić, Krešimir; Galić, Irena; Livada, Časlav
Title: Compression parameters tuning for automatic image optimization in web applications
( Compression parameters tuning for automatic image optimization in web applications )
Source: Proceedings ELMAR-2016 / Muštra, Mario ; Tralić, Dijana ; Zovko-Cihlar, Branka (ed). - Zagreb : LotusGRAF , 2016. (ISBN: 978-953-184-221-1).
ISSN: 1334-2630
Meeting: 58th International Symposium ELMAR-2016
Location and date: Zadar, Croatia, 12-14.09.2016
Keywords: Structural Similarity ; DSSIM ; Image compression ; Image optimization ; Mozjpeg
( Structural Similarity ; DSSIM ; Image compression ; Image optimization ; Mozjpeg )
Abstract:
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.
Type of meeting: Predavanje
Type of presentation in a journal: Full-text (1500 words and more)
Type of peer-review: International peer-review
Original language: eng
Category: Znanstveni
Research fields:
Computer science
Contrib. to CROSBI by: Časlav Livada (caslav.livada@etfos.hr), 4. Lis. 2017. u 08:41 sati



Print version   za tiskati


upomoc
foot_4