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Color space conversion is an important kernel in multimedia codecs such as JPEG and MPEG. When implemented using SIMD instructions, however, the performance improvement is often limited due to two reasons. First, corresponding color space components operation. It has been reported that it consumes up to 40 of the processing time of a highly optimized decoder [3, 2]. Consequently, the performance of JPEG/MPEG coders/decoders (codecs) can be improved-Color space conversion is an important kernel in multimedia codecs such as JPEG and MPEG. When implemented using SIMD instructions, however, the performance improvement is often limited due to two reasons. First, corresponding color space components operation. It has been reported that it consumes up to 40 of the processing time of a highly optimized decoder [3, 2]. Consequently, the performance of JPEG/MPEG coders/decoders (codecs) can be improved
Date : 2026-01-10 Size : 2kb User : rach

Smooth function is used a matrix with a 3X3 Gaussian filter kernel.
Date : 2026-01-10 Size : 43kb User : kudukSweetone

一个产生2D高斯卷积矩阵的代码,比较简单,很容易明白。-generate the 2D gaussian convolution kernel
Date : 2026-01-10 Size : 308kb User : Waifung

it is kernel quad program
Date : 2026-01-10 Size : 1kb User : kijul

快速核独立成分分析,能够利用核欺骗的手段,提取数据的非线性独立成份-fast Kernel IC analysis
Date : 2026-01-10 Size : 105kb User : zhang zhaoyang

DL : 0
利用Canny的方法实现边沿检测,核函数采用高斯核,sigma大小可以任意调节,阈值也可以任意选。界面优美。-Does the method of using Canny edge detection, the function USES the gaussian kernel, sigma size can be adjusted, and the threshold can be arbitrarily chosen. Beautiful interface.
Date : 2026-01-10 Size : 1.2mb User : 夏辉

DL : 0
SIFT算法是在不同的尺度空间上查找关键点,而尺度空间的获取需要使用高斯模糊来实现,Lindeberg等人已证明高斯卷积核是实现尺度变换的唯一变换核-SIFT algorithm is to find the key points on the different scales of space and capture scale space requires the use of a Gaussian blur to achieve, Lindeberg, who has proved a Gaussian convolution kernel is the only transform kernel to achieve scale transformation
Date : 2026-01-10 Size : 926kb User : 王禄平

脑图像分割基于自适应正则化的基于核的FCM分割,希望对大家有用-Brain Image Segmentation Based on Adaptive Regularization Based on Kernel FCM segmentation, we hope to be useful
Date : 2026-01-10 Size : 207kb User : zhushidong
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