Comparison of the structure and the computational complexity of the inverse difference and Laplacian Pyramids for still image decomposition

R. Kountchev, M. Milanova, S. Rubin, R. Kountcheva
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引用次数: 1

Abstract

In this work, the structures of the Inverse Difference Pyramid (IDP) and its modification - the Reduced IDP (RIDP), are compared and evaluated with the famous Laplacian Pyramid for multi-level decomposition of digital images. The computational complexity of both decompositions is also evaluated. On the basis of the comparison of the block diagrams, which represent the recursive calculation of the 3-level decompositions and of the evaluation of their structures complexity, are outlined the basic advantages of the RIDP for pipeline image processing. The results obtained could be used for design of coders for image compression, aimed at real-time applications.
对比了反差金字塔和拉普拉斯金字塔在静态图像分解中的结构和计算复杂度
在这项工作中,反向差分金字塔(IDP)的结构及其改进-减少IDP (RIDP),与著名的拉普拉斯金字塔的数字图像多层次分解进行比较和评价。并对这两种分解的计算复杂度进行了评估。通过对三层分解递归计算及其结构复杂度评价的方框图的比较,概述了RIDP用于管道图像处理的基本优势。所得结果可用于设计面向实时应用的图像压缩编码器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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