Publication Type:

Journal Article

Source:

Lecture Notes in Electrical Engineering, Volume 221 LNEE, Number VOL. 1, Coimbatore, p.121-130 (2013)

ISBN:

9788132209966

URL:

http://www.scopus.com/inward/record.url?eid=2-s2.0-84885195508&partnerID=40&md5=5778578a895df55d7f4655ac94e6a23b

Keywords:

Algorithms, Analysis of variance (ANOVA), Anti-aliasing, Antialiasing filters, Color, Color image processing, Color quantization, Cutoff frequency, High resolution image, Image down samplings, Low-pass filtering, Modulators, Psycho-visual perceptions, Signal processing, Signal processing theory, Signal sampling, Visual experiments

Abstract:

In this paper, the problem of aliasing due to pixel based image down-sampling in CMYK color space is addressed. Such a problem exists when a high-resolution image or video is to be mapped to low-resolution. Signal processing theory tells us that optimal decimation requires low-pass filtering with a suitable cutoff frequency, followed by down-sampling which remove many useful image details blurring. Instead of operating in the entire image, the proposed method finds the edge maps and then applies anti-aliasing filters only on the edge map regions excluding the horizontal and vertical edges. The algorithm shows a significant reduction of the aliasing artifacts, commonly known as "jaggies". Perceptual relative color dominance which is calculated from psycho visual experiments is included in the anti-aliasing part to improve the performance of the algorithm. The number of color quantization levels is varied separation by separation for each color channel and psycho visual survey is conducted to find the perceptual color dominance. © 2013 Springer.

Notes:

cited By (since 1996)0; Conference of org.apache.xalan.xsltc.dom.DOMAdapter@feab367 ; Conference Date: org.apache.xalan.xsltc.dom.DOMAdapter@12ca341c Through org.apache.xalan.xsltc.dom.DOMAdapter@192323e7; Conference Code:99829

Cite this Research Publication

Ma Sankaralingam, Arya, Sb, and Das, Aa, “Designing a perception based anti-aliasing filter for enhancement of down-sampled images”, Lecture Notes in Electrical Engineering, vol. 221 LNEE, pp. 121-130, 2013.

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