Optimal unsharp mask for image sharpening and noise removal

Sang Ho Kim; Jan P. Allebach

doi:10.1117/12.538366

Optimal unsharp mask for image sharpening and noise removal

Sang Ho Kim, Jan P. Allebach

Research output: Contribution to journal › Conference article › peer-review

Abstract

We consider the problem of restoring a noisy blurred image using an adaptive unsharp mask filter. Starting with a set of very high quality images, we use models for both the blur and the noise to generate a set of degraded images. With these image pairs, we optimally train the strength parameter of the unsharp mask to smooth flat areas of the image and to sharpen areas with detail. We characterize the blur and the noise for a specific hybrid analog/digital imaging system in which the original image is captured on film with a low-cost analog camera. A silver-halide print is made from this negative: and this is scanned to obtain a digital image. Our experimental results for this imaging system demonstrate the superiority of our optimal unsharp mask compared to a conventional unsharp mask with fixed strength.

Original language	English
Pages (from-to)	101-111
Number of pages	11
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	5299
DOIs	https://doi.org/10.1117/12.538366
State	Published - 2004
Externally published	Yes
Event	Computational Imaging II - San Jose, CA, United States Duration: Jan 19 2004 → Jan 20 2004

Keywords

Noise removal
Optimal filter
Sharpening
Unsharp mask

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10.1117/12.538366

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title = "Optimal unsharp mask for image sharpening and noise removal",

abstract = "We consider the problem of restoring a noisy blurred image using an adaptive unsharp mask filter. Starting with a set of very high quality images, we use models for both the blur and the noise to generate a set of degraded images. With these image pairs, we optimally train the strength parameter of the unsharp mask to smooth flat areas of the image and to sharpen areas with detail. We characterize the blur and the noise for a specific hybrid analog/digital imaging system in which the original image is captured on film with a low-cost analog camera. A silver-halide print is made from this negative: and this is scanned to obtain a digital image. Our experimental results for this imaging system demonstrate the superiority of our optimal unsharp mask compared to a conventional unsharp mask with fixed strength.",

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AU - Allebach, Jan P.

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AB - We consider the problem of restoring a noisy blurred image using an adaptive unsharp mask filter. Starting with a set of very high quality images, we use models for both the blur and the noise to generate a set of degraded images. With these image pairs, we optimally train the strength parameter of the unsharp mask to smooth flat areas of the image and to sharpen areas with detail. We characterize the blur and the noise for a specific hybrid analog/digital imaging system in which the original image is captured on film with a low-cost analog camera. A silver-halide print is made from this negative: and this is scanned to obtain a digital image. Our experimental results for this imaging system demonstrate the superiority of our optimal unsharp mask compared to a conventional unsharp mask with fixed strength.

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JF - Proceedings of SPIE - The International Society for Optical Engineering

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Optimal unsharp mask for image sharpening and noise removal

Abstract

Keywords

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