QR-RLS algorithm for error diffusion of color images

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Date

2000-11-01

Author

Unal, GB
Yardimci, Y
Arikan, O
Cetin, AE

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Printing color images on color printers and displaying them on computer monitors requires a significant reduction of physically distinct colors, which causes degradation in image quality. An efficient method to improve the display quality of a quantized image is error diffusion, which works by distributing the previous quantization errors to neighboring pixels, exploiting the eye's averaging of colors in the neighborhood of the point of interest. This creates the illusion of more colors. A new error diffusion method is presented in which the adaptive recursive least-squares (RLS) algorithm is used. This algorithm provides local optimization of the error diffusion filter along with smoothing of the filter coefficients in a neighborhood. To improve the performance, a diagonal scan is used in processing the image, (C) 2000 Society of Photo-Optical Instrumentation Engineers. [S0091-3286(00)00611-5].

Subject Keywords

General Engineering, Atomic and Molecular Physics, and Optics

URI

https://hdl.handle.net/11511/67774

Journal

OPTICAL ENGINEERING

DOI

https://doi.org/10.1117/1.1313749

Collections

Graduate School of Informatics, Article

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Citation Formats

G. Unal, Y. Yardimci, O. Arikan, and A. Cetin, “QR-RLS algorithm for error diffusion of color images,” OPTICAL ENGINEERING, pp. 2860–2866, 2000, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/67774.