The Centroid method for compressing sets of similar images
نویسندگان
چکیده
Similar images are images with common features, similar pixel distributions, and similar edge distributions. Fields such as medical imaging or satellite imaging often need to store large collections of similar images. In a set of similar images the image similarities represent patterns that consistently appear across all images; this results in “set redundancy”. This paper presents the Centroid method that extracts and uses these similarity patterns to reduce set redundancy and achieve higher lossless compression in sets of similar images. Experimental results with a medical image database demonstrate that the Centroid method can deliver significantly improved image compression. © 1998 Published by Elsevier Science B.V. All rights reserved.
منابع مشابه
Compressing Sets of Similar Medical Images Using Multilevel Centroid Technique
Application areas such as medical imaging or satellite imaging often store large collections of similar images. Lossless compression techniques are usually needed in such critical applications. Previous researches have introduced the centroid method, which gets benefit from the inter-image redundancy ì the set redundancyî. In this paper a new algorithm is proposed as an extension of the centroi...
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ورودعنوان ژورنال:
- Pattern Recognition Letters
دوره 19 شماره
صفحات -
تاریخ انتشار 1998