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A Review of Perceptual Image Quality
Linköping University, Department of Science and Technology.
2005 (English)Independent thesis Basic level (professional degree)Student thesis
Abstract [en]

What is meant with print quality, what makes people perceive the quality of an image in a certain way? An inquiry was made about what the parameters are that strongly affect the perception of digital printed images.

A subjective test and some measurements make the basis for the thesis. The goal was to find a tool to predict perceived image quality when investigating the connections between the subjective test and the measurements.

Some suitable images were chosen, with a variety of motifs. A test panel consisting of people that are used to observe image quality answered questions about the perception of the quality. Measurements were made on a special test form to get information about the six different printers used in the investigation.

One of the discoveries was made when two images with the same colorful motif were compared. The first image got a much higher grade for general quality than the second image, even though the second image was printed with a printer that had a larger color gamut. The reason of this is that the first image consists of more saturated colors, and the second image has more details. The human eye perceives the more saturated image to be better than the image with more details. Another discovery was the correlation between the perceived general quality of a colored image and the perceived color gamut. One conclusion was that a great difference between two calculated color gamuts resulted in a large difference in perception of the color gamuts. A discovery of an image with very few colors and many glossy surfaces was that print mottle and sharpness are strictly connected to the general quality.

Place, publisher, year, edition, pages
Institutionen för teknik och naturvetenskap , 2005.
Keyword [en]
Datorteknik, image quality, perception, color gamut, sharpness, print mottle, color shift
Keyword [sv]
National Category
Computer Engineering
URN: urn:nbn:se:liu:diva-2898ISRN: LITH-ITN-MT-EX--05/037--SEOAI: diva2:20240
Available from: 2005-05-19 Created: 2005-05-19

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