Color Image Quality on the Internet Export

@inproceedings{citeulike:6066173, abstract = {Color image quality depends on many factors, such as the initial capture system and its color image processing, compression, transmission, the output device, media and associated viewing conditions. In this paper, we are primarily concerned with color image quality in relation to compression and transmission. We review the typical visual artifacts that occur due to high compression ratios and/or transmission errors. We discuss color image quality metrics and present no-reference artifact metrics for blockiness, blurriness, and colorfulness. We show that these metrics are highly correlated with experimental data collected through subjective experiments. We use them for no-reference video quality assessment in di\#erent compression and transmission scenarios and again obtain very good results. We conclude by discussing the important e\#ects viewing conditions can have on image quality.}, author = {S\"{u}sstrunk, Sabine and Winkler, Stefan}, booktitle = {in Proc. SPIE}, citeulike-article-id = {6066173}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.3.1419}, keywords = {blur, quality, video}, pages = {118--131}, posted-at = {2009-11-04 02:26:02}, priority = {0}, title = {Color Image Quality on the Internet}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.3.1419}, volume = {5304}, year = {2004} }

TY - CONF ID - citeulike:6066173 L3 - citeulike-article-id:6066173 N2 - Color image quality depends on many factors, such as the initial capture system and its color image processing, compression, transmission, the output device, media and associated viewing conditions. In this paper, we are primarily concerned with color image quality in relation to compression and transmission. We review the typical visual artifacts that occur due to high compression ratios and/or transmission errors. We discuss color image quality metrics and present no-reference artifact metrics for blockiness, blurriness, and colorfulness. We show that these metrics are highly correlated with experimental data collected through subjective experiments. We use them for no-reference video quality assessment in di#erent compression and transmission scenarios and again obtain very good results. We conclude by discussing the important e#ects viewing conditions can have on image quality. EP - 131 TI - Color Image Quality on the Internet VL - 5304 T2 - in Proc. SPIE SP - 118 KW - blur KW - quality KW - video AU - Süsstrunk, Sabine AU - Winkler, Stefan PY - 2004/// UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.3.1419 ER -