Image Technology

Digital image processing is the use of a digital computer to process digital images through an algorithm. As a subcategory or field of digital signal processing, digital image processing has many advantages over analog image processing. It allows a much wider range of algorithms to be applied to the input data and can avoid problems such as the build-up of noise and distortion during processing.

Since images are defined over two dimensions (perhaps more) digital image processing may be modeled in the form of multidimensional systems. The generation and development of digital image processing are mainly affected by three factors. the development of computers, the development of mathematics, the demand for a wide range of applications in environment, agriculture, military, industry and medical science has increased. Canon's current digital cameras are equipped with the DIGIC (an acronym for "Digital Imaging Integrated Circuit") image processor, but do you really know the role it plays inside the camera? In this article, we focus our attention on the “brain” of the camera and some of its significant contributions to camera performance.


 

As cameras increase in functionality, pixel counts and sophistication, the burden shouldered by DIGIC has increased as well. A recent example is autofocusing on the EOS R, which requires the image processor to process up to 40 times more data than the maximum required on the EOS 5D Mark IV during Live View shooting, a feat achieved by the new DIGIC 8 processor.

It is not an overstatement to say that the development of new features and future camera models hinges on the capabilities of the DIGIC image processor. Features such as Panning mode, Time Lapse Movies and in-camera lens correction by Digital Lens Optimizer require extensive data processing power, and were successfully implemented with the aid of upgrades to the DIGIC image processor.

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