DocumentCode :
2013644
Title :
Image/video scaling algorithm based on multirate signal processing
Author :
Oraintara, Soontom ; Nguyen, Truong Q.
Author_Institution :
Dept. of Electr. & Comput. Eng., Boston Univ., MA, USA
Volume :
2
fYear :
1998
fDate :
4-7 Oct 1998
Firstpage :
732
Abstract :
This paper presents an approach for image and video scaling using multirate signal processing. The main objective is to scale images with an arbitrary rational scaling ratio without visible aliasing or distortion artifact. The approach can be applied to grey scale images, color images and video signals in both spatial domain and time domain. Cosine modulation is used to minimize the required on-chip memory since only a prototype filter is stored with some cosine modulation factors. The filters are shown to have comparable regularity for each scaling factor. An efficient structure is proposed for limited bit length filter coefficients which has no imaging artifact after the filter coefficients are quantized. Simulations on still image and video scaling are presented
Keywords :
digital filters; filtering theory; image colour analysis; linear phase filters; low-pass filters; modulation; quantisation (signal); time-domain analysis; video signal processing; color images; cosine modulation; digital signal representation; filter coefficients quantization; grey scale images; image scaling algorithm; limited bit length filter coefficients; linear phase low pass filter; multirate signal processing; on-chip memory; prototype filter; rational scaling ratio; spatial domain; still image; time domain; video scaling; video signals; Color; Cutoff frequency; Digital images; Filters; Interpolation; Prototypes; Quantization; Signal processing; Signal processing algorithms; Video signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-8186-8821-1
Type :
conf
DOI :
10.1109/ICIP.1998.723637
Filename :
723637
Link To Document :
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