Paper
19 May 1999 New perceptual approach for CCD matrix calculation
Young Ho Kim, Kun Sop Kim, Byung Deok Nam
Author Affiliations +
Proceedings Volume 3644, Human Vision and Electronic Imaging IV; (1999) https://doi.org/10.1117/12.348477
Event: Electronic Imaging '99, 1999, San Jose, CA, United States
Abstract
One of the important functions of DCPs on which the image quality is largely depends is color matrix calculation from the CCD's optical filter output. An algorithm which can go closer to the optimal solution for generation of color components data from CCD filter output is proposed in this paper. As far as the image quality is concerned, the best way is acquiring compete color data per pixel without any noise, and without any using an optical low pass filter. The most important role of the optical low pass filter is to scatter the ray penetrating the lens system as well as to cut below the frequency of the IR light. Basically, the proposed algorithm is non-filtered color reproduction flow. First, the proposed algorithm recovers the error made during the path of optic system in order to get better interpolation result. Then, the different procedures are adopted for green component and red or blue component interpolation based on the edge information extracted from the green image. The last procedure is edge preserving smoothing, where image data with high quality can be obtained by preserving the edge segments while smoothing the overall image.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Young Ho Kim, Kun Sop Kim, and Byung Deok Nam "New perceptual approach for CCD matrix calculation", Proc. SPIE 3644, Human Vision and Electronic Imaging IV, (19 May 1999); https://doi.org/10.1117/12.348477
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Charge-coupled devices

Linear filtering

Image quality

Optical filters

Image segmentation

Image filtering

Image resolution

Back to Top