To process an image using a lookup table, each pixel’s intensity value in the input image is used as an index to the table to find the corresponding modified intensity in the output image. This process is typically very fast and efficient since it involves simple table lookups instead of complex mathematical operations.

Lookup tables are versatile and can be used for various image processing tasks, such as contrast stretching, histogram equalization, gamma correction, color correction, and image enhancement. They provide a flexible way to adjust the pixel values, thereby achieving desired visual effects or enhancing specific image features.

A lookup table consists of two main components:

1. Input Values: These are the original pixel intensities of the input image. They typically range from 0 to 255 in an 8-bit grayscale image, where 0 represents black and 255 represents white.

2. Output Values: These are the modified pixel intensities that correspond to the input values. The mapping defines how each input value is transformed into an output value.

The concept of a lookup table can be visualized as follows:

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