Block-Extraction and Haar Transform Based Linear Singularity Representation for Image Enhancement

Hou Yingkun; Qu Xiaobo; Liu Guanghai; Lee Seong-Whan; Shen Dinggang

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Block-Extraction and Haar Transform Based Linear Singularity Representation for Image Enhancement

机译：基于图像增强的块提取和哈尔变换基于线性奇异性表示

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In this paper, we develop a novel linear singularity representation method using spatial K-neighbor block-extraction and Haar transform (BEH). Block-extraction provides a group of image blocks with similar (generally smooth) backgrounds but different image edge locations. An interblock Haar transform is then used to represent these differences, thus achieving a linear singularity representation. Next, we magnify the weak detailed coefficients of BEH to allow for image enhancement. Experimental results show that the proposed method achieves better image enhancement, compared to block-matching and 3D filtering (BM3D), nonsubsampled contourlet transform (NSCT), and guided image filtering.

机译：在本文中，我们使用空间k邻块 - 提取和哈尔变换（BEAR）开发一种新的线性奇异性表示方法。块提取提供了一组具有相似（通常平滑）背景但不同图像边缘位置的图像块。然后使用互连HAAR变换来表示这些差异，从而实现了线性奇异性表示。接下来，我们将弱详细系数的BEG放大以允许图像增强。实验结果表明，该方法实现了更好的图像增强，与块匹配和3D滤波（BM3D），非法均采样轮廓变换（NSCT）和引导图像滤波相比。

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《Mathematical Problems in Engineering》 |2019年第17期|6395147.1-6395147.14|共14页
作者
Hou Yingkun; Qu Xiaobo; Liu Guanghai; Lee Seong-Whan; Shen Dinggang;
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Taishan Univ Sch Informat Sci & Technol Tai An 271000 Shandong Peoples R China;

Xiamen Univ Dept Elect Sci Fujian Prov Key Lab Plasma & Magnet Resonance State Key Lab Phys Chem Solid Surfaces Xiamen 361005 Fujian Peoples R China;

Guangxi Normal Univ Coll Comp Sci & Informat Technol Guilin 541004 Peoples R China;

Korea Univ Dept Brain & Cognit Engn Seoul 02841 South Korea;

Korea Univ Dept Brain & Cognit Engn Seoul 02841 South Korea|Univ North Carolina Chapel Hill Dept Radiol Chapel Hill NC 27599 USA|Univ North Carolina Chapel Hill Biomed Res Imaging Ctr Chapel Hill NC 27599 USA;

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1. Block-Extraction and Haar Transform Based Linear Singularity Representation for Image Enhancement [J] . Yingkun Hou, Xiaobo Qu, Guanghai Liu, Mathematical Problems in Engineering: Theory, Methods and Applications . 2019,第1期

机译：基于图像增强的块提取和哈尔变换基于线性奇异性表示
2. Sparse representation of two-and three-dimensional images with fractional Fourier, Hartley, linear canonical, and Haar wavelet transforms [J] . Koc Aykut, Bartan Burak, Gundogdu Erhan, Expert Systems with Application . 2017,第Jula期

机译：分数维傅里叶，Hartley，线性规范和Haar小波变换的二维和三维图像的稀疏表示
3. ENHANCED WIENER RESTORATION OF IMAGES BASED ON THE HAAR WAVELET TRANSFORM [J] . SAID E. EL-KHAMY, MOHEY M. HADHOUD, MOAAWAD I. DESSOUKY, International Journal of Information Acquisition . 2005,第3期

机译：基于Haar小波变换的增强的Wiener图像复原
4. Poisson-Haar Transform: A nonlinear multiscale representation for photon-limited image denoising [C] . Lefkimmiatis S., Papandreou G., Maragos P. Image Processing (ICIP 2009), 2009 . 2009

机译：Poisson-Haar变换：用于光子受限图像去噪的非线性多尺度表示
5. New transform-based representations for images [D] . Eslami, Ramin 2006

机译：新的基于变换的图像表示形式
6. Enhancement of Perivascular Spaces in 7 T MR Image using Haar Transform of Non-local Cubes and Block-matching Filtering [O] . Yingkun Hou, Sang Hyun Park, Qian Wang, -1

机译：利用非局部立方体的Haar变换和块匹配滤波增强7 T MR图像中的血管周围空间
7. Block-Extraction and Haar Transform Based Linear Singularity Representation for Image Enhancement [O] . Yingkun Hou, Xiaobo Qu, Guanghai Liu, 2019

机译：基于图像增强的块提取和哈尔变换基于线性奇异性表示

Block-Extraction and Haar Transform Based Linear Singularity Representation for Image Enhancement

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