搜索资源列表
ImageStretch2
- 使用CUDA C语言,利用CUDA纹理内存,实现图像拉伸的并行实现。-Using CUDA C language, using CUDA texture memory, image stretching parallel implementation.
jacket_matlab
- 在matlab下编程使用jacket工具包进行GPU加速图像平滑算法,对900×900的图像平滑可达8倍多的加速比。需要jacket工具包及cuda toolkit。-In matlab programming toolkit used jacket GPU-accelerated image smoothing algorithm, the 900,900 image smooth acceleration up to 8 times more than that. Need jacket t
cuj2k-src-1.1
- A JPEG2000 encoder on CUDA - Converts BMP -> JPEG2000 with your NVIDIA GPU - Commandline tool and CUDA/C++ library - For both lossless and lossy encoding - One of the fastest open-source JPEG2000 encoder: Encodes a 27 megapixel -
DefogFinal
- 对输入bmp图像去雾,使用C语言GPU加速实现-image defog,c language,GPU accelerate,cuda
imageDenoising
- 英伟达公司的CUDA实例代码,用CUDA实现了KNN和NLM的图片降噪算法,包含了整个对应的工程文件。-Sample: Image denoising Minimum spec: SM 1.0 This sample demonstrates two adaptive image denoising techniques: KNN and NLM, based on computation of both geometric and color distance between
CUDA_image
- 代码是基于CUDA环境下的图像卷积处理,基于Linux系统,文档中有makefile-Convolutional code on the image processing environment CUDA
kernel
- 利用cuda对图像像素进行简单并行运算,以图像像素rgb值反映运行结果-Use a simple image pixel cuda parallel computing, image pixel rgb value to reflect the operating results
zihanshu
- 实现小波变换的CUDA子函数源代码,能够大幅度提高小波变换的速度-Wavelet transform CUDA Functions, can greatly improve the speed of image wavelet transform
dolofas
- Convolutional Neural Networks for No-Reference Image Quality Assessment(泛读) Domain Transform for Edge-Aware Image and Video Processing NVIDIA Update: CUDA Week in Review (Spotlight on Deep Neural Networks CUDA 6) Skilling up for Oracle Fusion
cnn_cuda5.5
- 利用cuda加速卷积神经网络,用于人工智能图像分类- Cuda accelerated use convolution neural networks, artificial intelligence for image classification
project3.tar
- 利用CUDA进行图像处理,压缩包内有CPU和GPU运行版本,时间上的对比非常明显-CUDA programming for Image processing
BlurRGB
- 利用cuda+opencv对照片进行高斯模糊-image blur using cuda and opencv
CUDA_RGBimageToGray
- 用cuda+opencv将RGB图像转换成灰度图-With cuda+opencv Converting an RGB image into grayscale
GPUBarCode
- 这是在Matlab软件平台下的 GPU程序,用最近邻域双线性插值算法填补图像中缺失区域,是并行运算处理,使用CUDA来编写程序。(This is the GPU program under the Matlab software platform, and the nearest neighborhood bilinear interpolation algorithm to fill the missing areas in the image is parallel processing,