Difference between image enhancement and image transformation.
Image enhancement and image transformation are two fundamental processes in remote sensing and image interpretation that serve distinct purposes and have different methodologies.
Image Enhancement:
Image enhancement is a technique used to improve the visual quality of an image while retaining the original information content. It aims to make the image more visually appealing and interpretable to the human eye. Common methods for image enhancement include:
1. Contrast Stretching: This expands the range of brightness values in an image, enhancing the visual separation between different features.
2. Histogram Equalization: It redistributes pixel values to create a more uniform histogram, improving overall image contrast.
3. Filtering: Techniques like median filtering or Gaussian filtering can reduce noise and enhance the image's sharpness.
4. Color
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