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首页> 外文期刊>Ocean Engineering >Image contrast enhancement using an integration of recursive-overlapped contrast limited adaptive histogram specification and dual-image wavelet fusion for the high visibility of deep underwater image
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Image contrast enhancement using an integration of recursive-overlapped contrast limited adaptive histogram specification and dual-image wavelet fusion for the high visibility of deep underwater image

机译：使用递归重叠对比度受限的自适应直方图规范和双图像小波融合的集成来增强图像深度对比度，以实现深水底图像的高可见性

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摘要

Deep underwater images suffer from several problems, such as low contrast and visibility, which reduce the extraction rate of valuable information from the image. In this paper, we proposed an approach which integrates the three main steps of homomorphic filtering, recursive-overlapped CLAHS and dual-image wavelet fusion and thus increases the visibility of deep underwater images and the extraction rate of important data. Additionally, this approach implements homomorphic filtering to provide homogeneity in the illumination of the entire image which will be used for subsequent processes. Recursive-overlapped CLAHS refers to the recursive process of overlapped tiles of divided image channel, where half of a tile is processed twice with an adjacent tile. Half of the tile is overlapped with its next adjacent tile. Dual-image wavelet fusion merging two images obtained from the integration of upper- and lower-stretched histograms are applied with discrete wavelet transformation before the main process of wavelet fusion is implemented. Qualitative and quantitative results reveal that the proposed method outperforms the current state-of-the-art methods. The highest value of average quantitative evaluations in terms of entropy, average gradient, measure of enhancement (EME) and EME by entropy are 7.835, 12.802, 8.343 and 27.616, respectively, in the proposed method.
机译：水下深层图像会遇到一些问题，例如对比度低和可见度低，这会降低图像中有价值信息的提取率。在本文中，我们提出了一种方法，该方法整合了同态滤波，递归重叠CLAHS和双图像小波融合三个主要步骤，从而提高了深海水下图像的可视性和重要数据的提取率。另外，该方法实现了同态滤波，以在将用于后续过程的整个图像的照明中提供同质性。递归重叠CLAHS是指分割图像通道的重叠图块的递归过程，其中一半图块与相邻图块一起处理两次。瓷砖的一半与其下一个相邻瓷砖重叠。在实现小波融合的主要过程之前，将通过上下拉伸直方图的积分获得的两个图像合并而成的双图像小波融合应用离散小波变换。定性和定量结果表明，所提出的方法优于当前的最新方法。所提出的方法在熵，平均梯度，增强度量（EME）和通过熵的EME方面的平均定量评估的最高值分别为7.835、12.802、8.343和27.616。

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