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A Novel Location and Neighborhood Adaptive Method for Binary Image Interpolation

Authors:
Pullat Joy Prabhakaran
Palanganda Ganapathy Poonacha

Keywords: Interpolation; binary-image; thinness; corner; slope.

Abstract:
In this paper, we propose a new zooming technique for binary images using location and neighborhood adaptive non-linear interpolation rules. These rules are inspired by the way an artist would draw an enlarged image. We have shown that our method overcomes a number of problems associated with known interpolation techniques, such as blurring and thickening of edges. Our method uses a set of sixteen rules in five categories. Each pixel in the interpolated image is computed by a chosen rule. The choice depends on the location of the pixel and the content in the neighborhood. The size of the neighborhood is a variable. Some rules can be influenced by and influence distant pixels. We present examples showing the effectiveness of our method. The results are visually appealing. Lines and dots, with single pixel thickness, retain their thickness. Inclined lines and solids don’t develop as much jaggedness as happens with bicubic interpolation. Similarly, curves are also relatively smoother.

Pages: 14 to 20

Copyright: Copyright (c) IARIA, 2017

Publication date: May 21, 2017

Published in: conference

ISSN: 2519-8432

ISBN: 978-1-61208-559-3

Location: Barcelona, Spain

Dates: from May 21, 2017 to May 25, 2017