MP2020: Visual quality assessment database for macro photography images

Automatic visual quality assessment in optical fundus images

A method for automatically assessing the quality of retinal images is presented. It is based on the idea that images of good quality possess some common features that should help define a model of what a good ophthalmic image is. The proposed features are the histogram of the edge magnitude distribution in the image as well as the local histograms of pixel gray-scale values. Histogram matching ...

Visual Quality Evaluation for Images and Videos

Mobile Video Quality Assessment Database

We introduce a new research tool – the LIVE Mobile Video Quality Assessment (VQA) database. The database consists of pristine reference and distorted videos, along with human/subjective opinion scores of the associated video quality. The database was designed towards improving our understanding of human judgements of time-varying video quality in heavilytrafficked wireless networks. A byproduct...

Image Quality Assessment for Photographic Images

A large scale psychophysical experiment was carried out to judge the perception of image quality of the photographic images. Two types of experiments, pair comparison and categorical judgment, were conducted for evaluating image difference and absolute quality respectively. Test images were generated by rendering the eight selected original images according to the change of lightness, chroma, c...

Quality assessment for online iris images

Iris recognition systems have attracted much attention for their uniqueness, stability and reliability. However, performance of this system depends on quality of iris image. Therefore there is a need to select good quality images before features can be extracted. In this paper, iris quality is done by assessing the effect of standard deviation, contrast, area ratio, occlusion, blur, dilation an...