I have changed my mind.

Started Mar 23, 2008 | Discussions thread
gollywop
gollywop Veteran Member • Posts: 8,284
Re: Iliah, are you implying

A new image sharpening approach for single-sensor digital cameras

Rastislav Lukac 1 , Konstantinos N. Plataniotis 2
1Epson Edge, Epson Canada Ltd., M1W 3Z5 Toronto, Ontario, Canada

2The Edward S. Rogers Sr. Department of ECE, University of Toronto, Toronto, Ontario, M5S 3G4, Canada
email: Rastislav Lukac (lukacr@ieee.org)

KEYWORDS

digital color imaging • single-sensor camera • color filter array • Bayer pattern • demosaicking • image sharpening

ABSTRACT

This article introduces a new image sharpening approach suitable for single-sensor digital cameras equipped with a Bayer color filter array (CFA). The proposed solution firstly enhances the structural content of the captured CFA image data. Subsequent demosaicking of the enhanced CFA image data produces a visually pleasing full-color image which is noticeably sharper compared to the output of the traditional imaging pipeline. Results reported in this work suggest a three-fold processing cost reduction when the new approach is followed. © 2007 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 17, 123-131, 2007

Received: 25 February 2007; Accepted: 30 August 2007

Adaptive demosaicking
Rajeev Ramanath and Wesley E. Snyder

North Carolina State University, Department of Electrical and Computer Engineering, Box 7914, Raleigh, North Carolina 27695-7914

(Received Oct. 1, 2002; revised Apr. 4, 2003; accepted May 15, 2003)

Digital still color cameras sample the visible spectrum using an array of color filters overlaid on a CCD, such that each pixel samples only one color band. The resulting mosaic of color samples is processed to produce a high-resolution color image, such that a value of a color band not sampled at a certain location is estimated from its neighbors. This is often referred to as "demosaicking." The human retina has a similar structure, although the distribution of cones is not as regular. Motivated by the human visual system, we propose an adaptive demosaicking technique in the framework of bilateral filtering. This approach provides us with a means to denoise, sharpen, and demosaic the image simultaneously. The proposed method, along with a variety of existing demosaicking strategies, are run on synthetic images and real-world images for comparative purposes. A recently proposed image comparison measure geared specifically toward demosaicking has also been applied to these images to provide a performance measure. ©2003 SPIE and IS&T.

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