Types of an image
Binary Image: A binary image contains only two pixel values 0 and 1, where 0 represents black and 1 represents white. It is also known as a monochrome image.
Grayscale Image: A grayscale image contains different shades of gray, typically ranging from 0 to 255, where 0 represents black, 255 represents white, and intermediate values represent varying gray levels.
Color Image (RGB): A color image represents visual information using three color channels i.e. Red (R), Green (G), and Blue (B). By combining these channels at different intensities, a wide range of colors can be produced.
Phases of Digital Image Processing
Acquisition: The process of obtaining an image in digital form using devices such as cameras or scanners. It may also involve preprocessing operations such as scaling and color conversion.
Enhancement: Improves the visual quality of an image by highlighting important details, reducing noise, or adjusting contrast.
Restoration: Recovers a degraded image by removing distortions such as blur or noise using mathematical models.
Segmentation: Divides an image into meaningful regions or objects to simplify analysis and interpretation.
Representation and Description: Represents image data in a suitable form and extracts meaningful features for further analysis.
Analysis: Extracts useful information from images, such as detecting objects, recognizing patterns, or measuring image properties.
Synthesis and Compression: Generates new images or compresses existing images to reduce storage and transmission requirements.