Antialiasing Filter Design for Subpixel Downsampling via Frequency-Domain Analysis. Lu Fang, Au, O. C., Ketan Tang, Katsaggelos, A. K., Fang, L., Au, O. C., Tang, K., & Katsaggelos, A. K. IEEE Transactions on Image Processing, 21(3):1391–1405, mar, 2012. Paper doi abstract bibtex In this paper, we are concerned with image downsampling using subpixel techniques to achieve superior sharpness for small liquid crystal displays (LCDs). Such a problem exists when a high-resolution image or video is to be displayed on low-resolution display terminals. Limited by the low-resolution display, we have to shrink the image. Signal-processing theory tells us that optimal decimation requires low-pass filtering with a suitable cutoff frequency, followed by downsampling. In doing so, we need to remove many useful image details causing blurring. Subpixel-based downsampling, taking advantage of the fact that each pixel on a color LCD is actually composed of individual red, green, and blue subpixel stripes, can provide apparent higher resolution. In this paper, we use frequency-domain analysis to explain what happens in subpixel-based downsampling and why it is possible to achieve a higher apparent resolution. According to our frequency-domain analysis and observation, the cutoff frequency of the low-pass filter for subpixel-based decimation can be effectively extended beyond the Nyquist frequency using a novel antialiasing filter. Applying the proposed filters to two existing subpixel downsampling schemes called direct subpixel-based downsampling (DSD) and diagonal DSD (DDSD), we obtain two improved schemes, i.e., DSD based on frequency-domain analysis (DSD-FA) and DDSD based on frequency-domain analysis (DDSD-FA). Experimental results verify that the proposed DSD-FA and DDSD-FA can provide superior results, compared with existing subpixel or pixel-based downsampling methods. © 2011 IEEE.
@article{Lu2011,
abstract = {In this paper, we are concerned with image downsampling using subpixel techniques to achieve superior sharpness for small liquid crystal displays (LCDs). Such a problem exists when a high-resolution image or video is to be displayed on low-resolution display terminals. Limited by the low-resolution display, we have to shrink the image. Signal-processing theory tells us that optimal decimation requires low-pass filtering with a suitable cutoff frequency, followed by downsampling. In doing so, we need to remove many useful image details causing blurring. Subpixel-based downsampling, taking advantage of the fact that each pixel on a color LCD is actually composed of individual red, green, and blue subpixel stripes, can provide apparent higher resolution. In this paper, we use frequency-domain analysis to explain what happens in subpixel-based downsampling and why it is possible to achieve a higher apparent resolution. According to our frequency-domain analysis and observation, the cutoff frequency of the low-pass filter for subpixel-based decimation can be effectively extended beyond the Nyquist frequency using a novel antialiasing filter. Applying the proposed filters to two existing subpixel downsampling schemes called direct subpixel-based downsampling (DSD) and diagonal DSD (DDSD), we obtain two improved schemes, i.e., DSD based on frequency-domain analysis (DSD-FA) and DDSD based on frequency-domain analysis (DDSD-FA). Experimental results verify that the proposed DSD-FA and DDSD-FA can provide superior results, compared with existing subpixel or pixel-based downsampling methods. {\textcopyright} 2011 IEEE.},
author = {{Lu Fang} and Au, Oscar C. and {Ketan Tang} and Katsaggelos, Aggelos K. and Fang, Lu and Au, Oscar C. and Tang, Ketan and Katsaggelos, Aggelos K.},
doi = {10.1109/TIP.2011.2165550},
issn = {1057-7149},
journal = {IEEE Transactions on Image Processing},
keywords = {Downsampling,frequency analysis,subpixel rendering},
month = {mar},
number = {3},
pages = {1391--1405},
title = {{Antialiasing Filter Design for Subpixel Downsampling via Frequency-Domain Analysis}},
url = {http://ieeexplore.ieee.org/document/5999717/},
volume = {21},
year = {2012}
}
Downloads: 0
{"_id":"wWRg7hdJhvtDHSF2q","bibbaseid":"lufang-au-ketantang-katsaggelos-fang-au-tang-katsaggelos-antialiasingfilterdesignforsubpixeldownsamplingviafrequencydomainanalysis-2012","author_short":["Lu Fang","Au, O. C.","Ketan Tang","Katsaggelos, A. K.","Fang, L.","Au, O. C.","Tang, K.","Katsaggelos, A. K."],"bibdata":{"bibtype":"article","type":"article","abstract":"In this paper, we are concerned with image downsampling using subpixel techniques to achieve superior sharpness for small liquid crystal displays (LCDs). Such a problem exists when a high-resolution image or video is to be displayed on low-resolution display terminals. Limited by the low-resolution display, we have to shrink the image. Signal-processing theory tells us that optimal decimation requires low-pass filtering with a suitable cutoff frequency, followed by downsampling. In doing so, we need to remove many useful image details causing blurring. Subpixel-based downsampling, taking advantage of the fact that each pixel on a color LCD is actually composed of individual red, green, and blue subpixel stripes, can provide apparent higher resolution. In this paper, we use frequency-domain analysis to explain what happens in subpixel-based downsampling and why it is possible to achieve a higher apparent resolution. According to our frequency-domain analysis and observation, the cutoff frequency of the low-pass filter for subpixel-based decimation can be effectively extended beyond the Nyquist frequency using a novel antialiasing filter. Applying the proposed filters to two existing subpixel downsampling schemes called direct subpixel-based downsampling (DSD) and diagonal DSD (DDSD), we obtain two improved schemes, i.e., DSD based on frequency-domain analysis (DSD-FA) and DDSD based on frequency-domain analysis (DDSD-FA). Experimental results verify that the proposed DSD-FA and DDSD-FA can provide superior results, compared with existing subpixel or pixel-based downsampling methods. © 2011 IEEE.","author":[{"firstnames":[],"propositions":[],"lastnames":["Lu Fang"],"suffixes":[]},{"propositions":[],"lastnames":["Au"],"firstnames":["Oscar","C."],"suffixes":[]},{"firstnames":[],"propositions":[],"lastnames":["Ketan Tang"],"suffixes":[]},{"propositions":[],"lastnames":["Katsaggelos"],"firstnames":["Aggelos","K."],"suffixes":[]},{"propositions":[],"lastnames":["Fang"],"firstnames":["Lu"],"suffixes":[]},{"propositions":[],"lastnames":["Au"],"firstnames":["Oscar","C."],"suffixes":[]},{"propositions":[],"lastnames":["Tang"],"firstnames":["Ketan"],"suffixes":[]},{"propositions":[],"lastnames":["Katsaggelos"],"firstnames":["Aggelos","K."],"suffixes":[]}],"doi":"10.1109/TIP.2011.2165550","issn":"1057-7149","journal":"IEEE Transactions on Image Processing","keywords":"Downsampling,frequency analysis,subpixel rendering","month":"mar","number":"3","pages":"1391–1405","title":"Antialiasing Filter Design for Subpixel Downsampling via Frequency-Domain Analysis","url":"http://ieeexplore.ieee.org/document/5999717/","volume":"21","year":"2012","bibtex":"@article{Lu2011,\nabstract = {In this paper, we are concerned with image downsampling using subpixel techniques to achieve superior sharpness for small liquid crystal displays (LCDs). Such a problem exists when a high-resolution image or video is to be displayed on low-resolution display terminals. Limited by the low-resolution display, we have to shrink the image. Signal-processing theory tells us that optimal decimation requires low-pass filtering with a suitable cutoff frequency, followed by downsampling. In doing so, we need to remove many useful image details causing blurring. Subpixel-based downsampling, taking advantage of the fact that each pixel on a color LCD is actually composed of individual red, green, and blue subpixel stripes, can provide apparent higher resolution. In this paper, we use frequency-domain analysis to explain what happens in subpixel-based downsampling and why it is possible to achieve a higher apparent resolution. According to our frequency-domain analysis and observation, the cutoff frequency of the low-pass filter for subpixel-based decimation can be effectively extended beyond the Nyquist frequency using a novel antialiasing filter. Applying the proposed filters to two existing subpixel downsampling schemes called direct subpixel-based downsampling (DSD) and diagonal DSD (DDSD), we obtain two improved schemes, i.e., DSD based on frequency-domain analysis (DSD-FA) and DDSD based on frequency-domain analysis (DDSD-FA). Experimental results verify that the proposed DSD-FA and DDSD-FA can provide superior results, compared with existing subpixel or pixel-based downsampling methods. {\\textcopyright} 2011 IEEE.},\nauthor = {{Lu Fang} and Au, Oscar C. and {Ketan Tang} and Katsaggelos, Aggelos K. and Fang, Lu and Au, Oscar C. and Tang, Ketan and Katsaggelos, Aggelos K.},\ndoi = {10.1109/TIP.2011.2165550},\nissn = {1057-7149},\njournal = {IEEE Transactions on Image Processing},\nkeywords = {Downsampling,frequency analysis,subpixel rendering},\nmonth = {mar},\nnumber = {3},\npages = {1391--1405},\ntitle = {{Antialiasing Filter Design for Subpixel Downsampling via Frequency-Domain Analysis}},\nurl = {http://ieeexplore.ieee.org/document/5999717/},\nvolume = {21},\nyear = {2012}\n}\n","author_short":["Lu Fang","Au, O. C.","Ketan Tang","Katsaggelos, A. K.","Fang, L.","Au, O. C.","Tang, K.","Katsaggelos, A. K."],"key":"Lu2011","id":"Lu2011","bibbaseid":"lufang-au-ketantang-katsaggelos-fang-au-tang-katsaggelos-antialiasingfilterdesignforsubpixeldownsamplingviafrequencydomainanalysis-2012","role":"author","urls":{"Paper":"http://ieeexplore.ieee.org/document/5999717/"},"keyword":["Downsampling","frequency analysis","subpixel rendering"],"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://sites.northwestern.edu/ivpl/files/2023/06/IVPL_Updated_publications-1.bib","dataSources":["XasdXLL99y5rygCmq","3gkSihZQRfAD2KBo3","t5XMbyZbtPBo4wBGS","bEpHM2CtrwW2qE8FP","teJzFLHexaz5AQW5z"],"keywords":["downsampling","frequency analysis","subpixel rendering"],"search_terms":["antialiasing","filter","design","subpixel","downsampling","via","frequency","domain","analysis","lu fang","au","ketan tang","katsaggelos","fang","au","tang","katsaggelos"],"title":"Antialiasing Filter Design for Subpixel Downsampling via Frequency-Domain Analysis","year":2012}