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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Franklin C (1977) Crow “The aliasing problem in computer-generated shaded images”. Commun ACM 20:799–805
Yeh Y-H, Lee C-Y (1999) A new anti-aliasing algorithm for computer graphics images. Proceedings of the international conference on image processing, vol 2. pp 442–446
Feiner S, Foley J, van Dam A, Hughes J (1996) Computer graphics: principles and practice, 2nd edn. Addison-Wesley, Reading
Oyvind R (2006) Applications of antialiasing in image processing framework setting. Signal Processing Symposium, pp 106–109
Ferwerda J, Greenberg D (1988) A psychophysical approach to assessing the quality of anti-aliased images. IEEE Comput Graph Appl 8:85–95
Kajiya J, Ullner M (1981) Filtering high quality text for display on raster scan devices. In: Computer graphics (SIGGRAPH’81 Proceedings), vol 15. pp 7–15
Wu X (1991) An efficient antialiasing technique. In: Proceedings of the 18th annual conference on computer graphics and interactive techniques, vol 25. pp 143–152
Blinn J (1989) Jim Blinn’s corner-return of the Jaggy (high frequency filtering). IEEE Comput Graphics Appl 9:82–89
http://www.eecs.berkeley.edu/Research/Projects/CS/vision/grouping/BSR/BSR_bsds500.tgz
Das A, Parua S (2012) Psycho-visual evaluation of contrast enhancement algorithms by adaptive neuro-fuzzy inference system. Lect Notes Comput Sci 7143:75–83 Springer
Spiegel M, Schiller J, Srinivasan A (2004) Theory and problems of probability and statistics (Schaum S Outline Series) 2nd edn. Tata McGraw Hill, New Delhi
Gupta S, Sproull RF (1981) Filtering edges for gray-scale displays. Comput Graph 15:1–5
Bærentzen J, Nielsen S, Gjøl M, Larsen B (2008) Two methods for anti-aliased wireframe drawing with hidden line removal. Proceedings of the spring conference in computer graphics
Ahmad MB, Choi TS (1999) Local threshold and Boolean function based edge detection. IEEE Trans Consum Electron 45:332–333
Matthews J (2002) An introduction to edge detection: The Sobel edge detector. Available at http://www.generation5.org/content/2002/im01.asp
Burgett SR, Das M (1991) Multiresolution multiplicative auto regression coding of images. In: Proceedings IRRR conference on systems engineering, pp 276–279
Gonzalez C, Woods RE (2002) Digital image processing, 2nd edn. Prentice Hall, Englewood Cliffs
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer India
About this paper
Cite this paper
Sankaralingam, M., Arya, S., Das, A. (2013). Designing a Perception Based Anti-Aliasing Filter for Enhancement of Down-sampled Images. In: S, M., Kumar, S. (eds) Proceedings of the Fourth International Conference on Signal and Image Processing 2012 (ICSIP 2012). Lecture Notes in Electrical Engineering, vol 221. Springer, India. https://doi.org/10.1007/978-81-322-0997-3_11
Download citation
DOI: https://doi.org/10.1007/978-81-322-0997-3_11
Published:
Publisher Name: Springer, India
Print ISBN: 978-81-322-0996-6
Online ISBN: 978-81-322-0997-3
eBook Packages: EngineeringEngineering (R0)