Paper
24 September 2007 Examples of subjective image quality enhancement in multimedia
Miloš Klíma, Jiří Pazderák, Karel Fliegel
Author Affiliations +
Abstract
The subjective image quality is an important issue in all multimedia imaging systems with a significant impact onto QoS (Quality of Service). For long time the image fidelity criterion was widely applied in technical systems esp. in both television and image source compression fields but the optimization of subjective perception quality and fidelity approach (such as the minimum of MSE) are very different. The paper presents an experimental testing of three different digital techniques for the subjective image quality enhancement - color saturation, edge enhancement, denoising operators and noise addition - well known from both the digital photography and video. The evaluation has been done for extensive operator parameterization and the results are summarized and discussed. It has been demonstrated that there are relevant types of image corrections improving to some extent the subjective perception of the image. The above mentioned techniques have been tested for five image tests with significantly different image characteristics (fine details, large saturated color areas, high color contrast, easy-to-remember colors etc.). The experimental results show the way to optimized use of image enhancing operators. Finally the concept of impressiveness as a new possible expression of subjective quality improvement is presented and discussed.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Miloš Klíma, Jiří Pazderák, and Karel Fliegel "Examples of subjective image quality enhancement in multimedia", Proc. SPIE 6696, Applications of Digital Image Processing XXX, 66961N (24 September 2007); https://doi.org/10.1117/12.768864
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Cited by 1 scholarly publication.
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KEYWORDS
Image quality

Image enhancement

Wavelets

Digital filtering

Multimedia

Image compression

Convolution

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