Quotes About Image processing

But, when we started our product portfolio, we focused the mixed signal requirements first for image processing devices and then in audio applications, targeting our technology into the growing use of digital technology in consumer markets.

I became hooked on the idea of being able to shoot an image and process it myself, and end up with a product.

In the past, Google has used teams of humans to 'read' its street address images - in essence, to render images into actionable data. But using neural network technology, the company has trained computers to extract that data automatically - and with a level of accuracy that meets or beats human operators.

To learn to recognize images of cats, a CPU would process pixel after pixel, while a GPU could "look" at many pixels at once. So the time needed to train a computer to recognize cats decreased dramatically.