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Image enhancement is the process of manipulating an image to make it more suitable for a specific application. In the spatial domain, this involves direct manipulation of pixels.

Used to resize or reorient images. These require Interpolation (such as Nearest Neighbor or Bilinear) to estimate pixel values when the new grid does not align perfectly with the old one. CDVIP-LB02A.7z

Using kernels (small matrices) to blur or sharpen images. A Mean Filter reduces noise by averaging pixel neighborhoods, while a Laplacian Filter enhances edges by detecting rapid changes in intensity. 2. Geometric Transformations Image enhancement is the process of manipulating an

The Fundamentals of Image Processing: Enhancement and Transformation These require Interpolation (such as Nearest Neighbor or

The simplest form of enhancement, where each pixel is modified based solely on its own value. Common examples include brightness adjustment and contrast stretching.

💡 Image enhancement improves clarity , while geometric transformation ensures spatial accuracy .

These include translations, shears, and rotations while preserving collinearity. They are the mathematical foundation for "rectifying" images taken from tilted angles. 3. Practical Implementation and Tools