Define Image transformation.
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Image transformation refers to the process of altering the characteristics or representation of an image to achieve specific objectives, enhance certain features, or extract valuable information. This can involve changing the spatial, spectral, or radiometric properties of the image, and it is a fundamental step in image processing and analysis. Image transformation techniques play a crucial role in extracting meaningful information, improving visualization, and preparing data for further analysis. Here are key aspects of image transformation:
Spatial Transformation:
Radiometric Transformation:
Spectral Transformation:
Frequency Transformation:
Image Enhancement:
Normalization:
Applications:
In summary, image transformation is a versatile and essential concept in image processing, encompassing various techniques to modify different aspects of an image. These transformations are tailored to specific objectives, whether they involve improving visualization, facilitating analysis, or preparing data for specific applications across diverse fields.