Enhancement and measurement of image and video quality

This project is part of a large field of research where the goal is to achieve higher perceptual quality of image and video for the human user of mobile equipment such as mobile phones. The work in the project is performed within some areas of interest as follows. In all of these areas consideration has to be made regarding low computing power and low memory usage.

Video post-filtering for de-blocking and sharpening.

Due to large compression of the video data stream the current coding technologies give a block-like structure in the decoded video sequence, which is suppressed by different filtering methods. Methods for sharpening and other enhancement are also developed.

Pre-filtering to enhance video coding performance.

Depending on the source of a video sequence characteristics like the noise level and the frequency content may vary considerably. By pre-filtering, where unwanted or unnecessary information is suppressed, the video coder can get better conditions, and result in larger compression rate or higher quality.

Reduction of motion blur.

This is needed since the device is small and light and therefore not easy to keep still during exposure.

Motion estimation.

An essential part of video coding is the estimation of, and compensation for, motion between successive frames.

Video stabilization.

When recording a video sequence with small handheld devices such as camera phones there is often a need to reduce the effects of shaking the device.

Measurement of perceptual video quality.

In many situations working with video coding and video signal processing there is a need for video quality measures that are objective but gives results close to the human perception.

For a list of publications of this group, follow this link.

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