Image Processing - 双边滤波器(Bilateral Filter) 优点:降噪的同时,在一定程度上保留边缘信息。 缺点:速度慢 原理:在有明显边界的图像中,当双边滤波器的中心在亮像素侧上时,滤波器用其附近的亮像素的平均值代替中心处的明亮像素,并且基本上忽略了黑暗像素。 相反,当双边滤波器的中心在暗像素侧上时,亮像素将被忽...
Image processingBilateral filterIn this paper, we propose a new fast dehazing method from single image based on filtering. The basic idea is to compute ... C Xiao,J Gan - 《Visual Computer》 被引量: 146发表: 2012年 Fast image interpolation using the bilateral filter Iet Image ProcessingK....
Gabiger A,Kube M,Weigel R.A synchronous FPGA design of a bilateral filter for image processing. Industrial Electronics . 2009A. Gabiger, M. Kube, and R. Weigel, “A synchronous FPGA design of a bilateral filter for image processing,” in Proc. IEEE Ind. Electron. Conf. (IECON’09), ...
参考 Real-time Edge-Aware Image Processing with the Bilateral Grid A Fast Approximation of the Bilateral Filter using a Signal Processing Approach 胡渊鸣:用 Taichi 实现 GPU 图像处理:从入门到入魔
In this paper, we present a fast and provably accurate algorithm for approximating the bilateral filter when the range kernel is Gaussian. In particular, for box and Gaussian spatial filters, the proposed algorithm can cut down the complexity to $O(1)$ per pixel for any arbitrary $S$. The...
Zhang M: Bilateral Filter in Image Processing, Master Theis. 2009, Louisiana State University Google Scholar Hu Q, He Q, Zhou J: Multi-Scale Edge Detection with Bilateral Filtering in Spiral Architecture. Proceedings of the Pan-Sydney Area Workshop on Visual Information Processing. 2004, 6: ...
In contrast with filters that operate on the three bands of a color image separately, a bilateral filter can enforce the perceptual metric underlying the CIE-Lab color space, and smooth colors and preserve edges in a way that is tuned to human perception. Also, in contrast with standard ...
% Compute Gaussian intensity weights according to the color image H = exp(-(J-C(i,j)).^2/(2*sigma_r^2)); % Calculate bilateral filter response. F = H.*G((iMin:iMax)-i+w+1,(jMin:jMax)-j+w+1); B(i,j) = sum(F(:).*I(:))/sum(F(:)); ...
为此,我们提出了一种机器学习方法,其中参考filter、图像处理pipeline,甚至主观手动照片调整的效果。通过一个深度网络学习,该网络可以快速评估,并且制作图像处理系统与图像目标质量的复杂性无关。我们专注于不会产生空间扭曲图像或添加新边缘的计算摄影增强,例如 [Aubry 等人 2014;Hasinoff 等人 2016]。
Noise removal in MRI (Magnetic Resonance Image) scan image is important and essential for a wide variety of subsequent processing applications. Among the abundant denoising algorithms, the bilateral filter has been widely used in many image preprocessing procedures. However, it requires laborious tuning...