Digital image reproduction is now prevalent in most image application fields such as TV, Mobile, Internet, Photograph, Digital Printing, etc. Moreover, as the network infrastructure is developing very rapidly, most people in the world are using internet services and people upload and download the contents which they create in the form of images or moving streams as the name of UCC (User Created Contents). Requirement of the high quality image reproduction therefore, is one of the main issues in the companies, service providers and users. Image quality is highly subjective concept and it is therefore difficult to quantify. However, it can be quantified by using statistical and psychophysical approaches based on the experimental data analysis. Also image quality model can be developed by previously mentioned experimental data and its analysis. In this paper, the psychophysical experiments for moving streams are introduced in order to develop an image quality model for moving streams. From the categorical judgment data, linear form of image quality model was derived with the r value of 0.9393.
Jin-Seo Kim, Maeng-Sub Cho, Bon-Ki Koo, M. R. Luo, Stephen Westland, "Image Quality Modelling for Moving Streams" in Proc. IS&T 15th Color and Imaging Conf., 2007, pp 122 - 126, https://doi.org/10.2352/CIC.2007.15.1.art00023