Image processing | Page 8

hgpu.org » Applications » Image and Signal Processing » Image processing

GPUCV: A Framework for Image Processing Acceleration with Graphics Processors

Jean-philippe Farrugia, Patrick Horain, Erwan Guehenneux, Yannick Alusse

View

Download (PDF)

Source codes

Tags: Computer science, Computer vision, GLSL, Image processing, nVidia, nVidia GeForce 7800 GTX, OpenGL, Package

November 4, 2010 by hgpu

Discrete Wavelet Transform on Consumer-Level Graphics Hardware

Tien-Tsin Wong, Chi-Sing Leung, Pheng-Ann Heng, Jianqing Wang

View

Download (PDF)

Source codes

Tags: Discrete Wavelet Transform, Image processing, JPEG2000, nVidia, nVidia GeForce 7800 GTX, OpenGL, Package, Shaders

November 2, 2010 by hgpu

OpenVIDIA: parallel GPU computer vision

James Fung, Steve Mann

View

Download (PDF)

Tags: Chirplet transform, Computer vision, Image processing, Mediated reality, nVidia, nVidia GeForce FX 5200, OpenGL, Package

November 1, 2010 by hgpu

GPU-based Video Feature Tracking and Matching

Sudipta N. Sinha, Jan-michael Frahm, Marc Pollefeys, Yakup Genc

View

Download (PDF)

Source codes

Tags: Computer science, Image processing, nVidia, nVidia GeForce 7900 GTX, OpenGL, Package, SIFT

October 29, 2010 by hgpu

GpuCV: A GPU-Accelerated Framework for Image Processing and Computer Vision

Yannick Allusse, Patrick Horain, Ankit Agarwal, Cindula Saipriyadarshan

View

Download (PDF)

Source codes

Tags: Computer science, Computer vision, CUDA, GLSL, Image processing, nVidia, nVidia GeForce GTX 280, OpenGL, Package

October 28, 2010 by hgpu

Efficient GPU-Based Texture Interpolation using Uniform B-Splines

Daniel Ruijters,Bart ter Haar Romeny,Paul Suetens

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Image processing, nVidia, nVidia GeForce 9800 GTX, Package

October 27, 2010 by hgpu

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Applications

GPUCV: A Framework for Image Processing Acceleration with Graphics Processors

Discrete Wavelet Transform on Consumer-Level Graphics Hardware

OpenVIDIA: parallel GPU computer vision

GPU-based Video Feature Tracking and Matching

GpuCV: A GPU-Accelerated Framework for Image Processing and Computer Vision

Efficient GPU-Based Texture Interpolation using Uniform B-Splines

Recent source codes

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

chemtrain: Training Molecular Dynamics Potentials in JAX

microSYCL: SYCL micro-benchmarks repository

XaaS containers

SYCL Container

CASS: Cuda-Amd aSSembly

Cluser of smartphones for edge computing application using TensorFlow

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

Most viewed papers (last 30 days)