ITE Technical Report
Online ISSN : 2424-1970
Print ISSN : 1342-6893
ISSN-L : 1342-6893
38.8
Session ID : BCT2014-34
Conference information
Quality Improvement of Re-sampling for the Geometric Image Conversion
Takuya KUSAJIMASatoshi MATSUMOTONaoyuki AWANOKenji SUGIYAMA
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract
In re-size (scaling) of a picture, quality up processing which are called super resolution have been studied. We have discussed a method of directional adaptive processing to reduce jaggy and ringing. On the other hand, geometric image conversion such as affine transform is one of re-size processing which have different magnification scale in a pixel. However, some super resolution methods are not suitable to this processing. At first, we discuss a hybrid re-sampling which uses a high order filter and a linear interpolation to balance the spatial frequency and flexibility. Next, pre-filtering is discussed to reduce alias component in size deduction. Finally, we apply a directional adaptive processing for the geometric image conversion to reduce jaggy. As results of experiments, it was recognized that the proposed method gives better PSNR and subjective picture quality.
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© 2014 The Institute of Image Information and Television Engineers
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