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Image Enhancement in Digital Image Processing
Image enhancement is a crucial technique in digital image processing, aimed at improving the visual quality of an image or making specific features of an image more discernible for both human observers and automated systems. Whether it’s for medical, satellite, or entertainment purposes, enhancing an image can reveal critical details hidden in low-quality or noisy images.
What is Image Enhancement?
Image enhancement involves applying specific techniques to adjust an image's contrast, brightness, or sharpness to make it easier to analyze or visually appealing. Unlike image restoration (which focuses on restoring an image to its original form), enhancement doesn’t aim to reconstruct an image but rather improve its appearance for certain tasks.
Categories of Image Enhancement
1. Spatial Domain Techniques: These techniques operate directly on the pixels of the image. Spatial domain enhancement manipulates pixel intensity values to improve an image's quality. Examples include contrast adjustment, sharpening, and noise reduction.
2. Frequency Domain Techniques: In frequency domain techniques, an image is first transformed into a frequency domain using a transformation like Fourier Transform. Enhancement is then performed on the transformed image, typically for applications like filtering out noise or enhancing edges.
