Image smoothing with minimal distortion

Steven C. Gustafson; Vasiliki E. Nikolaou; Farid Ahmed

doi:10.1117/12.211975

16 June 1995 Image smoothing with minimal distortion

Steven C. Gustafson, Vasiliki E. Nikolaou, Farid Ahmed

Proceedings Volume 2488, Visual Information Processing IV; (1995) https://doi.org/10.1117/12.211975
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

An innovative method that enhances detail in digital images by smoothing image pixels while introducing minimal distortion is described and tested. In particular, a 14 by 14 pixel region of a diital image is smoothed using a constrained Gaussian radial basis function method. This method centers on each pixel a Gaussian distribution of amplitude such that the sum of all distributions correctly reproduces the gray level of each pixel. To assess the method, the distortion of the smoothed image is measured by the deviation of its power spectrum, from that of the unsmoothed image, determined as a function of the Gaussian distribution width, and comparisons are made with bilinear interpolation, a conventional convolution smoothing technique. The new method is capable of removing more 'pixel noise' while introducing less image distortion, thus permitting the detection and examination of otherwise hidden detail in digital images. Examples include the detection and assessment of enemy weapons in military images and cancerous tumor medical images.

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Steven C. Gustafson, Vasiliki E. Nikolaou, and Farid Ahmed "Image smoothing with minimal distortion", Proc. SPIE 2488, Visual Information Processing IV, (16 June 1995); https://doi.org/10.1117/12.211975

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KEYWORDS

Distortion

Digital imaging

Image segmentation

Image enhancement

Medical imaging

Convolution

Image processing

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