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This project aims at providing multifold acceleration to the excruciatingly slow and computationally intensive process of Haar Training (used for machine learning) using NVIDIA CUDA technology.



Used in image compression, the haar transform is an alternative to the DCT transformation. This file compute an n*n Haar matrix. (same use as "dctmtx")



Faces detection toolbox v 0.2
-----------------------------

This toolbox provides some tools for faces detection/classification using Local Binary Patterns (and some variants) and Haar features.
Face detection is performed by...



Wavelet discrete transform based on Haar wavelet serves as a link between wavelet technique of data compression and fractal technique based on the system of contractive linear transforms.



Performs watermarking of the input image by decomposing the image using haar wavlet. Noise generated with normal distribution is used as the key and is added to the input image to obtain the watermarked image.



the face is detected using haar transform and it is then given for tracking through the e cam window and can use for robotic s .shown in gui



This function ObjectDetection is an implementation of the Detection in the Viola-Jones framework. In this framework Haar-like features are used for rapid object detection. It supports the trained classifiers in the XML files of OpenCV which can be...



Delphi/C++ Builder VCL and FireMonkey (FMX) components library for fast Digital Signal Processing (DSP) and data visualization.

Allows fast complex signal manipulations with zero lines of program code.

The library is fully...



Delphi/C++ Builder VCL and FireMonkey (FMX) components library for advanced computer vision.
The components allow rapid development of fully featured advanced computer vision applications with zero lines of program code.

Also...



SignalLab is a set of .NET 2.0-4.5 components for fast Digital Signal Processing (DSP) and data visualization.

Allows fast complex signal manipulations with zero lines of program code.

The library is fully multithreaded,...



VisionLab is a set of .NET 2.0-4.5 components for advanced computer vision.
The components allow rapid development of fully featured advanced computer vision applications with zero lines of program code.

Also includes a Visual...



SignalLab VC++ is a set of Visual C++ components for fast Digital Signal Processing (DSP) and data visualization.
Allows fast complex signal manipulations with zero lines of program code.
SignalLab consists of SignalPlayer, SignalLogger,...



This code is built using elementary functions of image processing toolbox. I would be glad to know if this code can be optimised further.



PURE-LET has been recently proposed [1] as noise removal strategy from Poisson-count images. Specifically, PURE (Poisson unbiased risk estimator) is an unbiased estimate, defined in the Haar wavelet domain, of the mean-squared error between the...



The Alpert transform is a multiwavelets transform based on orthogonal polynomials. It was originally designed for the resolution of partial differential and integral equations, since it avoids boundary artifact and can be used with an arbitrary...



Visual C++ is a set of Visual C++ components for advanced computer vision.
The components allow rapid development of fully featured advanced computer vision applications with zero lines of program code.
It includes Canny edge detection,...