Mechanism analysis of highly overlapped interpolation contrast enhancement
Mechanism analysis of highly overlapped interpolation contrast enhancement
复制标题
高度重叠插值对比度增强机制分析
DOI：
10.1049/ip-vis:20050159
复制
发表时间：
2006
期刊：
影响因子：
--
通讯作者：
Jin Zhang
中科院分区：
文献类型：
--
作者：
Z. Q. Wu;J. A. Ware;I. D. Wilson;Jin Zhang
逐点采样算法在自适应对比度增强（ACE）中的应用已有近三十年的历史。为了克服其计算开销，已经提出了各种逐步采样算法，包括高度重叠的插值对比度增强（HOICE）算法，该算法解决了其他逐步采样算法的伪影，例如图像失真和块效应，同时保持速度的优势。然而，HOICE的内部机制尚未与传统的逐点算法进行比较，这可能会影响其未来的应用范围。作者在传统的逐点采样和HOICE之间架起了一座桥梁：首先从数学上分析了两种典型采样算法（逐点采样和HOICE）的内在机理，然后定量地论证了这两种算法之间的相似性。此外，定量测量的结果表明，HOICE算法在减少沿沿着图像边缘的失真方面优于逐点算法。因此HOICE具有逐点和其他逐步算法的优点，使其成为ACE的可靠采样算法。
The pointwise sampling algorithm has been used in adaptive contrast enhancement (ACE) for nearly three decades. To overcome its computational overhead, various stepwise sampling algorithms have been proposed, including the highly overlapped interpolation contrast enhancement (HOICE) algorithm that addresses the artefacts, such as image distortion and blocking effects, of other stepwise sampling algorithms while keeping the advantage of speed. However, HOICE's internal mechanism has not been compared with traditional pointwise algorithms, which may affect the scope of its future application. The authors establish a bridge between traditional pointwise sampling and HOICE: they first mathematically analyse the internal mechanism of two typical sampling algorithms (pointwise and HOICE); and then quantitatively demonstrate the similarities between these two kinds of algorithms. Moreover, the results of quantitative measurement suggest that HOICE has an advantage over the pointwise algorithm in reducing the distortion along image edges. Therefore HOICE has the advantages of both pointwise and other stepwise algorithms making it a reliable sampling algorithm for ACE.