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Interpolated Algorithm Research in Digital Image Processing

Ding Yu-sheng

Open publisher page 1 citations

Abstract

Geometric computing requires the image gray value interpolation,nearest neighbor interpolation method is simple,but the picture will have a clearly enlarged teeth.Bilinear interpolation can produce satisfactory results,but the procedure is more complicated to run a long time.In this paper,two basic algorithms,and actual results through nearest neighbor interpolation describing bilinear interpolation algorithm with the difference in image processing.

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What this paper is about

Geometric computing requires the image gray value interpolation,nearest neighbor interpolation method is simple,but the picture will have a clearly enlarged teeth.Bilinear interpolation can produce satisfactory results,but the procedure is more complicated to run a long time.In this paper,two basic algorithms,and actual results through nearest neighbor interpolation describing bilinear interpolation algorithm with the difference in image processing.

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Available abstract

Geometric computing requires the image gray value interpolation,nearest neighbor interpolation method is simple,but the picture will have a clearly enlarged teeth.Bilinear interpolation can produce satisfactory results,but the procedure is more complicated to run a long time.In this paper,two basic algorithms,and actual results through nearest neighbor interpolation describing bilinear interpolation algorithm with the difference in image processing.

Key concepts: Bilinear interpolation, Stairstep interpolation, Computer science, Interpolation (computer graphics), Image scaling, Bicubic interpolation, Nearest-neighbor interpolation, Algorithm

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