We present an objective image quality assessment technique which is based on the properties of the human visual system (HVS). It consists of two major components: an early vision model (multi-channel and designed specifically for complex natural images), and a visual attention model which indicates regions of interest in a scene through the use of Importance Maps. Visible errors are then weighted, depending on the perceptual importance of the region in which they occur. We show that this technique produces a high correlation with subjective test data (0.93), compared to only 0.65 for PSNR. This technique is particularly useful for images coded with spatially varying quality.
|Number of pages||5|
|Publication status||Published - 1998|
|Event||Proceedings of the 1998 International Conference on Image Processing, ICIP. Part 2 (of 3) - Chicago, IL, USA|
Duration: 4 Oct 1998 → 7 Oct 1998
|Conference||Proceedings of the 1998 International Conference on Image Processing, ICIP. Part 2 (of 3)|
|City||Chicago, IL, USA|
|Period||4/10/98 → 7/10/98|