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The Image Interpolation Algorithm Based on the Non-uniform B-spline Surface

Author: FengJieFei
Tutor: HanHuiJian
School: Shandong Institute of Economics
Course: Applied Computer Technology
Keywords: Image Interpolation B-spline surfaces Edge Detection Bicubic interpolation
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 186
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Abstract


Daily life and work, we often need to change the size of the image in order to meet the needs of different areas and applications. Digital image scaling has become a very important topic in the field of digital image processing, image interpolation technique is an important tool for image scaling. General interpolation algorithm: nearest neighbor interpolation, bilinear interpolation, bicubic interpolation and spline function interpolation, linear interpolation can be classified as, the interpolation principle is similar to the low-pass filtering, easy resulting in the degradation of the different levels of detail in the original image. Interpolation techniques emerging in recent years, such as the WT (Wavelet Transform) method, partial differential equations, neural network methods and Bayesian analysis, although their own interpolation superiority, but it is still hard to avoid loss of detail results interpolated image edge more disadvantages. Based on this background, the paper proposes an image interpolation algorithm based on non-uniform B-spline surfaces. The research topics include: parametric method selection; construct B-spline curve B-spline interpolation surface structure as well as on the edge of the artificial result of image interpolation problem. The main innovation of this paper are as follows: 1. Construct B-spline surface based on the brightness of the image changes in non-uniform parameterization. The entire image is placed in the three-dimensional space, the image pixel value as the Z-axis coordinate values ??of the three-dimensional space, based on the image brightness variations of the non-uniform parameterization methods to construct the B-Spline Surfaces. This surface by each adjacent 25 pixels in the image obtained by the linear combination calculated grid point which is C1 continuous. The surface-based interpolation algorithms to remove noise generated than traditional spline interpolation algorithm clearer purpose image. Using edge detection operators separation image edge point and non-edge point, its processed separately. Use of the non-uniform B-spline surface to interpolate the image, the results obtained at the edges of the image are prone serrated for this defect, we propose to use edge detection algorithm for image edge extraction and edge points should be dealt with separately. Edge pixels using bicubic interpolation algorithm has good interpolation effect at the edges. Bicubic interpolation algorithm is likely to generate noise, but after its interpolation, the visual effect of the object image at the edges. Therefore, for the edge pixels using this algorithm will be able to in the image magnification larger sawtooth effect of weakening at the edges to ensure the visual effect of the image as a whole. In summary, this paper, the theory of computer graphics and image processing method, arbitrary scale scaling interpolation model provides a new perspective to the field of digital image processing. The research results in the fields of medicine, public security, military, meteorological better theoretical significance and practical value.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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