They work on two principles: improvement of pictorial information and processing of scene data. Image is a replica of an object.
Applications of Digital Image Processing
Images are of different types like gray tone images, line copy images and half tone images. There are various steps in image processing like preprocessing, segmentation, representation, recognition, interpretation, and knowledge base. It is used to process the image so that the image obtained is more suitable the original image.
Process of image may lead to image degradation. They generally use two categories for image processing.
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Frequency domain method: they use Fourier transformation for the image processing before any modification. For error free compression three types of coding methods are employed. Huffman coding, arithmetic coding and bit plane coding.
What Is Image Processing? – Vision Campus
For image segmentation two techniques are used fixed threshold and istogram-derived thresholds. Filtering can also be done in frequency domain.
It is can be done by 4 ways like low pass filter, ideal low pass filter, butter worth low pass filter and homomorphic filter. They are used in x-rays to obtain clear image. It reduces the blur effect of the image.
Image compression models : they consist of source encoder which is responsible coding, inter-pixel and psycho visual processing in the input image. Image restoration: this technique is just for improve the image.
This method is applied towards modeling the degradation and then applied in reverse in order to obtain original image again. Your email address will not be published.
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