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Description: 3D reconstruction, medical image processing from colons, using intel image processing for based class. This source code. Some code missing but I think you can understand it. Development version. This source code is very interesting for learning segmentation and registration from dataset. This code also has some technique about GPU image processing for ray tracing. Also learn many filter apply for transform from spatial domain to frequency domain.
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Size: 1485969 |
Author: Son Tran |
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Description: 3D reconstruction, medical image processing from colons, using intel image processing for based class. This source code. Some code missing but I think you can understand it. Development version. This source code is very interesting for learning segmentation and registration from dataset. This code also has some technique about GPU image processing for ray tracing. Also learn many filter apply for transform from spatial domain to frequency domain.
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Size: 1485824 |
Author: Son Tran |
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Description: 基于GP/GPU的滤镜系统之半影调。模仿phtoshop功能-Based on the GP/GPU filter system Penumbral tune. Phtoshop functional mimic
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Size: 4640768 |
Author: 周舟 |
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Description: 基于GP/GPU的滤镜处理之半影调，模仿photoshop功能-Based on the GP/GPU filter treatment of penumbral emphasize the functional mimic photoshop
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Size: 2923520 |
Author: 周舟 |
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Description: 基于GP/GPU的滤镜系统之铅笔画，模仿photoshop功能-Based on the GP/GPU filter system pencil painting, photoshop features mimic
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Size: 2936832 |
Author: 周舟 |
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Description: 一个基于GPU运算的FIR滤波器程序，基于CUDA平台而开发。支持GPU并行运算。-GPU-based computing a FIR filter process, developed based on the CUDA platform. Support GPU parallel computing.
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Size: 306176 |
Author: Jim Teoh |
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Description: 完成飛行情報區交叉可以高保真的夢想，它的大幅過濾器和線性信號階段。
but current FFT type of FIR crossover on PC loses time information of audio signal.但目前的FFT類型的FIR交叉在PC失去時間信息的音頻信號。 If you use 10ms frame, time information in 10ms are lost.如果您使用10ms幀，在10ms時間信息都將丟失。
Now nVidia CUDA GPU computing power can achieve very fast "Real" FIR conversion, resulting such a sharp filtering like below.現在的nVidia CUDA技術的GPU運算能力可以達到非常快的“真正的”飛行情報區的轉換，從而導致這樣一個尖銳的過濾像如下。 -Complete FIR Crossover can be Audiophile s dream, by it s sharp filter and linear signal phase.
but current FFT type of FIR crossover on PC loses time information of audio signal. If you use 10ms frame, time information in 10ms are lost.
Now nVidia CUDA GPU computing power can achieve very fast "Real" FIR conversion, resulting such a sharp filtering like below.
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Size: 1781760 |
Author: bigecho |
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Description: 分析了如何創建一個簡單的7x7濾波器的OpenCL是適用於所有的GPU。本案例研究將著眼於提高卷積卷積時的性能與小圖像內核，一般來說，基於 FFT卷積更快的30x30內核及以後 [1]，但實際上它的使用不常見的大窗口大小。
.我們將首先實現卷積圖像，然後使用改進的濾波器性能通過使用__constant OpenCL的內存和緩存圖像信息在__local空間。 -Analysis of how to create a simple 7x7 filter is applied to all OpenCL GPU. This case study will focus on improving the performance of the time convolution convolution kernel with a small image, in general, based on FFT convolution kernel and the subsequent 30x30 faster [1], but in fact it is not common to use a large window size. . We will first implement the convolution image, and then use the filter performance improved through the use of memory and cache __constant OpenCL image information in the __local space.
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Size: 1275904 |
Author: yohow |
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Description: 用高斯过滤信号的CPU和GPU源码。用Makefile里命令的执行程序。过滤后的信号结果保存在signal.data文件里。可以用GNUPLOT命令画出图像。-manipulate a signal with filter gaussien and filter moyenne in CPU and GPU. Compile the code with the command written in Makefile. The result can be found in signal.data that will be generated. Than plot the signal with gnuplot.
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Size: 2048 |
Author: yin |
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Description: 一个基于GPU运算的FIR滤波器程序，基于CUDA平平台而开发。支持GPU并行运算。，
-A flat platform, based on the CUDA GPU computing-based FIR filter program development. Supports GPU parallel computing. ,
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Size: 264192 |
Author: 澄清 |
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Description: 2011年IEEE T.的A Framework for 3D Model-Based Visual Tracking Using a GPU-Accelerated Particle Filter，请大家分享-2011 IEEE T. A Framework for 3D Model-Based Visual Tracking Using a GPU-Accelerated Particle Filter to share
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Size: 2617344 |
Author: 单昊 |
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Description: 强大的photoshop风格image filter,基于GPU-Powerful photoshop style image filter, based on GPU
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Size: 8276992 |
Author: 刘开 |
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Description: 该算法基于opencv的自适应高斯滤波，并且使用CUDA（GPU）架构进行算法加速-The algorithm is based opencv adaptive Gaussian filter, and use CUDA (GPU) architecture to accelerate the algorithm
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Size: 276480 |
Author: 王顺飞 |
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Description: 大名鼎鼎的movit 3D gpu加速特效库，基本的特效功能都有，锐化，素描，描边，模糊，色彩转换，overlay等-movit 3D gpu filter
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Size: 888832 |
Author: wyg |
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Description: Fast O(1)双边滤波算法,由三角函数逼近方法实现非迭代算法，计算量不再受滤波窗口大小影响，只与图像大小有关，适合改进为GPU执行的并行算法（此函数还包含一个递归高斯算法）-Fast O (1) bilateral filtering algorithm, approximation by a trigonometric method to achieve non-iterative algorithm to calculate the amount of the filter window size is no longer affected, only the size of the image, as the GPU for improved parallel algorithm d (this also includes a recursive Gauss algorithm)
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Size: 70656 |
Author: xiaofeifu |
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Description: 支持实时摄像头滤镜的GPUImage是iOS下一个开源的基于GPU的图像处理库，提供各种各样的图像处理滤镜，并且支持照相机和摄像机的实时滤镜。GPUImage for Android是它在Android下的实现，同样也是开源的，托管在Github上。-Support real-time camera filters GPUImage is IOS under an open source GPU based image processing library, provides a variety of image processing filters, and support real-time filter of the cameras. For Android GPUImage is its implementation under the Android, the same is also open source, hosted on Github.
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Size: 1630208 |
Author: 李伟林 |
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Description: This program is meant to run a sobel filter using three different methods. Each sobel filter function runs in a different way than the others, one is a basic sobel filter running through just the cpu on a single thread, another runs through openmp to parallelize the single threaded cpu function, and the last one runs through a NVIDIA gpu to parallelize the function onto the many cores available on the gpu. The resulting output from the functions should be the same no matter which way it is ran, the only difference will be the time taken to process each method. In most cases, the CPU will run the slowest, then openmp, and finally the GPU method will run the fastest (due to having more cores to handle many small computations). The result will be an image showing an edge map produced by each method, the edge maps should all be the same.
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Size: 13942784 |
Author: 穿山甲说
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