WO2017185445A1 - Image detail enhancement and noise suppression method applied to infrared thermal imager - Google Patents

Image detail enhancement and noise suppression method applied to infrared thermal imager Download PDF

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WO2017185445A1
WO2017185445A1 PCT/CN2016/083220 CN2016083220W WO2017185445A1 WO 2017185445 A1 WO2017185445 A1 WO 2017185445A1 CN 2016083220 W CN2016083220 W CN 2016083220W WO 2017185445 A1 WO2017185445 A1 WO 2017185445A1
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image
detail
edge
enhanced
enhancement
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PCT/CN2016/083220
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French (fr)
Chinese (zh)
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谢雪平
曾衡东
章睿
董涛
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成都市晶林科技有限公司
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/70—Denoising; Smoothing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/50—Image enhancement or restoration using two or more images, e.g. averaging or subtraction
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/73—Deblurring; Sharpening
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10048—Infrared image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20212—Image combination
    • G06T2207/20221—Image fusion; Image merging

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  • the invention discloses an image detail enhancement and noise suppression method applied to an infrared camera, comprising the following steps: S1 edge image extraction, S2 detail image extraction, S3 basic image extraction, S4 extracting edge image, detail image and The basic image is separately enhanced in detail; S5 fuses the enhanced edge image, the detail image and the base image to obtain a final enhanced image; the present invention provides a method for image detail enhancement and noise suppression applied to the infrared camera, The edge image, the detail image and the base layer image are respectively extracted and processed, and then the processed image is fused, so that the contrast and detail of the processed image are significantly enhanced; and the detail layer corresponding to the second smooth image is removed obviously At the edge of the edge, there is no edge grayscale inversion at all.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Image Processing (AREA)
  • Image Analysis (AREA)
  • Studio Devices (AREA)

Abstract

An image detail enhancement and noise suppression method applied to an infrared thermal imager comprises the following steps: S1, extracting an edge image; S2, extracting a detail image; S3, extracting a basic image; S4, conducting detail enhancement on the extracted edge image, detail image and basic image respectively; and S5) fusing the enhanced edge image, detail image and basic image to obtain a final enhanced image. In the method, an edge image, a detail image and a base layer image are separately extracted and processed, and then the processed images are fused, so that the contrast and details of the processed images are significantly enhanced; in addition, obvious edges are removed from a detail layer corresponding to a second smooth image, so as to completely get rid of the phenomenon of edge gray-scale reversal.

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无标题Untitled
本发明公开了一种应用于红外热像仪图像细节增强和噪声抑制方法，包括以下步骤：S1边缘图像提取、S2细节图像提取、S3基本图像提取、S4将提取出的边缘图像、细节图像和基本图像分别进行细节增强；S5将增强后的边缘图像、细节图像和基本图像进行融合，得到最终的增强图像；本发明提供了一种应用于红外热像仪图像细节增强和噪声抑制方法，对边缘图像、细节图像和基本层图像的分别进行提取和处理，再将处理后的图像进行融合，使得处理后的图像对比度和细节显著增强；同时在第二平滑图像对应的细节层中去除了明显的边缘，完全不会出现边缘灰度反转现象。 The invention discloses an image detail enhancement and noise suppression method applied to an infrared camera, comprising the following steps: S1 edge image extraction, S2 detail image extraction, S3 basic image extraction, S4 extracting edge image, detail image and The basic image is separately enhanced in detail; S5 fuses the enhanced edge image, the detail image and the base image to obtain a final enhanced image; the present invention provides a method for image detail enhancement and noise suppression applied to the infrared camera, The edge image, the detail image and the base layer image are respectively extracted and processed, and then the processed image is fused, so that the contrast and detail of the processed image are significantly enhanced; and the detail layer corresponding to the second smooth image is removed obviously At the edge of the edge, there is no edge grayscale inversion at all.

Claims (4)

  1. 一种应用于红外热像仪图像细节增强和噪声抑制方法，其特征在于：包括以下步骤：包括边缘图像提取步骤S1、细节图像提取步骤S2、基本图像提取步骤S3、细节增强步骤S4和图像融合步骤S5；A method for image detail enhancement and noise suppression applied to an infrared camera, comprising: an edge image extraction step S1, a detail image extraction step S2, a basic image extraction step S3, a detail enhancement step S4, and image fusion Step S5;
    所述的边缘图像提取步骤S1包括以下子步骤：The edge image extraction step S1 includes the following sub-steps:
    S11.采用第一边缘平滑滤波器对原始图像I进行处理，得到第一平滑图像T1；S11. The first edge smoothing filter is used to process the original image I to obtain a first smooth image T1;
    S12.提取边缘图像DI1：S12. Extract the edge image DI1:
    DI1＝I-T1；DI1=I-T1;
    所述的细节图像提取步骤S2包括以下子步骤：The detailed image extraction step S2 includes the following sub-steps:
    S21.采用第二边缘平滑滤波器对原始图像I进行处理，得到第二平滑图像T2；S21. The second edge smoothing filter is used to process the original image I to obtain a second smooth image T2;
    S22.计算第二平滑图像T2对应的细节层DI2:S22. Calculate the detail layer DI2 corresponding to the second smooth image T2:
    DI2＝I-T2；DI2=I-T2;
    S23.提取细节图像DI:S23. Extract the detail image DI:
    DI＝DI2-DI1；DI=DI2-DI1;
    所述的基本图像提取步骤S3包括：采用边缘保持滤波器对原始图像I进行处理，得到基本层图像T3；The basic image extraction step S3 includes: processing the original image I using an edge hold filter to obtain a base layer image T3;
    所述的细节增强步骤S4包括：The detail enhancement step S4 includes:
    S41.对边缘图像DI1进行细节增强处理，得到增强的边缘图像DI1′；S41. Performing detail enhancement processing on the edge image DI1 to obtain an enhanced edge image DI1';
    S42.对细节图像DI进行细节增强处理，得到增强的细节图像DI′；S42. Perform detail enhancement processing on the detail image DI to obtain an enhanced detail image DI';
    S43.对基本图像P3进行细节增强处理，得到增强的基本图像T3′；S43. Performing detail enhancement processing on the basic image P3 to obtain an enhanced basic image T3';
    所述的图像融合步骤S5包括：将增强的边缘图像DI1′、细节图像DI′与基本图像T3′进行融合，得到最终的增强图像DOUT_B：The image fusion step S5 includes: fusing the enhanced edge image DI1', the detail image DI', and the base image T3' to obtain a final enhanced image DOUT_B:
    DOUT_B＝T3′+P1*DI0′+P2*DI′；DOUT_B=T3'+P1*DI0'+P2*DI';
    式中，P1，P2是比例系数，P1的取值区间为(0,3)，P2的取值区间为(0,2)。In the formula, P1 and P2 are proportional coefficients, the value interval of P1 is (0, 3), and the value interval of P2 is (0, 2).
  2. 根据权利要求1所述的一种应用于红外热像仪图像细节增强和噪声抑制方法，其特征在于：步骤S41中通过GAMMA曲线变换对边缘图像DI1进行细节增强，得到增强的边缘图像DI1′。A method for image detail enhancement and noise suppression applied to an infrared camera according to claim 1, wherein the edge image DI1 is enhanced in detail by a GAMMA curve transformation in step S41 to obtain an enhanced edge image DI1'.
  3. 根据权利要求1所述的一种应用于红外热像仪图像细节增强和噪声抑制方法，其特征在于：步骤S42中通过GAMMA曲线变换对细节图像DI进行细节增强，得到增强的细节图像DI′。A method for image detail enhancement and noise suppression applied to an infrared camera according to claim 1, wherein the detail image DI is enhanced in detail by a GAMMA curve transformation in step S42 to obtain an enhanced detail image DI'.
  4. 根据权利要求1所述的一种应用于红外热像仪图像细节增强和噪声抑制方法，其特征在于：所述的步骤S43包括：将基本层图像T3对进行对比度增强，并基本层图像T3中像素点灰度值范围压缩到0-255的灰度空间。 A method for image detail enhancement and noise suppression applied to an infrared camera according to claim 1, wherein said step S43 comprises: contrast enhancement of a base layer image T3 pair, and a base layer image T3 The pixel gray value range is compressed to a gray space of 0-255.
PCT/CN2016/083220 2016-04-26 2016-05-25 Image detail enhancement and noise suppression method applied to infrared thermal imager WO2017185445A1 (en)

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