Digital Image Processing for Camera Application in Mobile Devices Using Artificial Neural Networks
نویسنده
چکیده
This paper utilizes artificial neural networks based image processing techniques for low capacity and resource constrained devices like mobile phones for camera applications. The system is trained to develop the operating matrix, called the function matrix, by using artificial neural network theory, from a sample input and output image matrix. This is done when the system is in idle mode. After having obtained the function matrix, it can be very conveniently operated upon any other input image matrix by simple multiplication to obtain the desired modification in the input image in real time. Computer simulation results are provided to prove the concept.
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