A triage method of determining the extent of JPEG compression artifacts

Luo, Jiebo; Yu, Qing; Miller, Michael E.

doi:10.1109/icip.2002.1038063

Cited by 2 publications

References 10 publications

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Toward Assessing and Improving the Quality of Stereo Images

Park

Luo

Gallagher

2012

IEEE J. Sel. Top. Signal Process.

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Abstract-Imaging systems have incorporated numerous technological innovations such as 3D television and handheld devices. Despite these advances, these techniques still require the human eyes to refocus until the sense of depth perception is achieved by the observer. The more time this takes, the more eye muscles become fatigued and the brain tires from confusion. However, the exact intricacies involved are far more complex. To alleviate these problems, we introduce a learning framework that aims to improve the quality of stereo images. Instead of attempting to cover all factors that affect the quality of stereo images, such as image resolution, monitor response, viewing glass response, viewing conditions, viewer differences, and compression artifacts, we first introduce a set of universally relevant geometric stereo features for anaglyph image analysis based on feature point correspondence across color channels. We then build a regression model that effectively captures the relationship between the stereo features and the quality of stereo images and show that the model performs on par with the average human judge in our study. Finally, we demonstrate the value of the proposed quality model in two proposed applications where it is used to help enhance the quality of stereo images and also to extract stereo key frames from a captured 2D video.

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Toward Assessing and Improving the Quality of Stereo Images

Park

Luo

Gallagher

2012

IEEE J. Sel. Top. Signal Process.

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Embedded importance watermarking for image verification in radiology

Osborne

Rogers²,

Sorell

et al. 2004

SPIE Proceedings

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Digital medical images used in radiology are quite different to everyday continuous tone images. Radiology images require that all detailed diagnostic information can be extracted, which traditionally constrains digital medical images to be of large size and stored without loss of information. In order to transmit diagnostic images over a narrowband wireless communication link for remote diagnosis, lossy compression schemes must be used. This involves discarding detailed information and compressing the data, making it more susceptible to error. The loss of image detail and incidental degradation occurring during transmission have potential legal accountability issues, especially in the case of the null diagnosis of a tumor. The work proposed here investigates techniques for verifying the voracity of medical images -in particular, detailing the use of embedded watermarking as an objective means to ensure that important parts of the medical image can be verified. We propose a result to show how embedded watermarking can be used to differentiate contextual from detailed information. The type of images that will be used include spiral hairline fractures and small tumors, which contain the essential diagnostic high spatial frequency information.

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A triage method of determining the extent of JPEG compression artifacts

Cited by 2 publications

References 10 publications

Toward Assessing and Improving the Quality of Stereo Images

Toward Assessing and Improving the Quality of Stereo Images

Embedded importance watermarking for image verification in radiology

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