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1. Image acquisition is the first process. Generally the image acquisition stage involves preprocessing such as scaling.
2. Image enhancement is among the simplest and most area. The idea behind enhancement techniques is to bring out detail that is obscured or simply to highlight certain features of interest in an image.
3. Image restoration is ain area that also deals with improving the appearance of an image. Unlike enhancement, which is subjective, image restoration is objective. Image restoration techniques tend to be based on mathematical or probabilistic models of image degradation. Enhancement on the other hand, is based on human subjective preferences regarding what constitutes a good enhancement result
4. Color image processing
5. Wavelets are the foundation for representing images in various degrees of resolution.
6. Compression deals with techniques for reducing the storage required to save an image or the bandwidth required to transmit it.
7. Morphological processing deals with tools for extracting image components that are useful in the representation and description of shape.
8. Segmentation procedures partition an image into its constituent parts or objects.
9. Representation and description almost always follow the output of a segmentation stage, which usually is raw pixel data, constituting either the boundary of a region. Representation first deals with whether the data should be represented as a boundary or as a complete region. Choosing representation is only part of the solution for transformation raw data into a form suitable for subsequent computer processing. A method must also be specified for describe the data so that features of interest are highlighted. Description or feature slection deals with extracting attributes that result in some quantitative information of interest or are basic for differentiation one class of objects from another.
10. Object recognization

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Q: Explain various steps in image processing?
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