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Published in:
2017 | OriginalPaper | Chapter
A Weighted Non-monotonic Averaging Image Reduction Algorithm
Authors : Jiaxin Han, Haiyang Xia
Published in: Knowledge Science, Engineering and Management
Publisher: Springer International Publishing
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Abstract
Image reduction is commonly used as a data pre-processing method in many image processing field, an efficient image reduction operator can underpinning many practical applications. Traditional monotonic averaging image reduction operator may lost some detail features during reduction. However, In certain task those small features have very important significance. Therefore, some scholars proposed a non-monotonic averaging image reduction algorithm, recent works focus on integrate the pixel cluster’s space structure information into image representative pixel selection progress, it has certain practical significance but this method is only suitable for specific background pictures. To fill this gap, We propose an novel sigmoid function based weighted image reduction algorithm, which can be used to image reduction under different background colours. Experiments show that the proposed method has better image reduction effect on images with different background colors.