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Method and system for real-time noise removal and image enhancement of high dynamic range images

机译:高动态范围图像的实时噪声去除和图像增强的方法和系统

摘要

The invention relates to a method and system for real-time noise removal and image enhancement of high dynamic range (HDR) images. The method includes obtaining an input image I, the input image I comprising an HDR image, and operating processing circuitry for (i) applying a first edge-preserving filter (eg, guided filter) to the input image I, thereby producing a first image component B1 and a first set of linear coefficients ᾱi, 1 are generated; (ii) applying a second edge preserving filter (eg, guided filter) to the input image I, thereby producing a second image component B2 and a second set of linear coefficients ᾱi, 2; (iii) generating a plausibility mask P from a combination of the first set of linear coefficients ᾱi, 1 and the second set of linear coefficients, the plausibility mask P indicating a spatial detail in the input image I; and (iv) generating an output image O based on the first image component B1, the second image component B2 and the plausibility mask P. Generating an output image O may include generating an output image O based on the summation of the second image component B2 and a detail image component D 'derived from the first image component B1 and the plausibility mask P. The detail image component D 'can be given by D' = λP · D, where D = B1 - B2 and λ is a gain factor for adjusting the contrast of details in D. An intermediate image O 'can be derived by O' = B2 + D '. The method may include mapping the intermediate image to the output image by histogram generation, grading gray levels in the intermediate image O ', and obtaining the output image O from the formula (I).
机译:本发明涉及一种用于高动态范围(HDR)图像的实时噪声去除和图像增强的方法和系统。该方法包括获得输入图像I,该输入图像I包括HDR图像,以及操作处理电路,用于(i)将第一边缘保留滤波器(例如,导引滤波器)应用于输入图像I,从而产生第一图像。产生分量B1和第一组线性系数ᾱi,1。 (ii)将第二边缘保留滤波器(例如,导引滤波器)应用于输入图像I,从而产生第二图像分量B2和第二组线性系数ᾱi,2; (iii)从第一组线性系数ᾱi,1和第二组线性系数的组合生成似真性掩模P,似真性掩模P指示输入图像I中的空间细节; (iv)基于第一图像分量B1,第二图像分量B2和合理性掩模P生成输出图像O。生成输出图像O可以包括基于第二图像分量B2的总和生成输出图像O。细节图像分量D'可以由D'=λP·D给出,其中D = B1-B2,并且λ是用于调整D中细节的对比度。可以通过O'= B2 + D'得出中间图像O'。该方法可以包括通过直方图生成将中间图像映射到输出图像,对中间图像O'中的灰度进行分级,以及从公式(I)获得输出图像O。

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