@inproceedings{a604fa3fcd174c07870ef6621416edbb,
title = "The effect of texture granularity on texture synthesis quality",
abstract = "Natural and artificial textures occur frequently in images and in video sequences. Image/video coding systems based on texture synthesis can make use of a reliable texture synthesis quality assessment method in order to improve the compression performance in terms of perceived quality and bit-rate. Existing objective visual quality assessment methods do not perform satisfactorily when predicting the synthesized texture quality. In our previous work, we showed that texture regularity can be used as an attribute for estimating the quality of synthesized textures. In this paper, we study the effect of another texture attribute, namely texture granularity, on the quality of synthesized textures. For this purpose, subjective studies are conducted to assess the quality of synthesized textures with different levels (low, medium, high) of perceived texture granularity using different types of texture synthesis methods.",
keywords = "Texture synthesis, subjective quality, texture compression, texture granularity",
author = "\{Alireza Golestaneh\}, S. and Subedar, \{Mahesh M.\} and Lina Karam",
note = "Publisher Copyright: {\textcopyright} 2015 SPIE.; Applications of Digital Image Processing XXXVIII ; Conference date: 10-08-2015 Through 13-08-2015",
year = "2015",
doi = "10.1117/12.2189466",
language = "English (US)",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Tescher, \{Andrew G.\} and Tescher, \{Andrew G.\}",
booktitle = "Applications of Digital Image Processing XXXVIII",
}