Description: The research paper Processing Methods of Digital Image Processing suggests that the methods adopted for image processing in the yore are still being used as the fundamental concepts although digital technology has revolutionized image processing techniques. Optical applications such as holography are still in use. Digital processing allows enhancing the quality of required features while attenuating the features that are of negligible interest and consideration.
Digital image processing is a subset of the electronic domain wherein the image is converted to an array of small integers, called pixels, representing a physical quantity such as scene radiance, stored in a digital memory, and processed by computer or other digital hardware. Digital image processing, either as enhancement for human observers or performing autonomous analysis, offers compensation in cost, speed, and flexibility, and with the rapidly falling price and rising performance of personal computers it has become the dominant method in use.
What is Digital Image Processing?
An image may be defined as a two-dimensional function, f(x, y), where x and y are spatial (Plane) coordinates, and the amplitude of f at any pair of coordinates (x, y) is called the intensity or Gray level of the image at that point. When (x, y) and amplitude values of f are all finite, discrete Quantities, we call the image a digital image. The field of digital image processing refers to processing digital images by means of a digital computer. Note that a digital image is com- posed of a finite number of elements, each of which has a particular location and value. These elements are referred to as picture elements, image elements, pixels, and pixels. Pixel is the term most widely used to denote the elements of a digital image.
Conclusion: The research paper concludes by saying that today image processing field is one of the fastest growing fields and has many promises to make in the future.
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