Find the pixel values of the 8 ×8 binary image by setting the gray-level values between 0-127 to

step 1 The n bits per pixel produces 2 to the nth power shades of gray color. So the shades of gray col

Find the pixel values of the 8 ×8 binary image by setting...

Find the pixel values of the $8 \times 8$ binary image by setting the gray-level values between $0-127$ to 0 and 128-255 to 1 for each of the 8-bit gray-level images
$$
\{x(m, n), m=0,1,2, \ldots, 7 \text { and } n=0,1,2, \ldots, 7\}
$$
obtained in Exercise (1.3).

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Key Concepts

8-bit Gray-Level Image

An 8-bit gray-level image uses 8 bits to represent the intensity of each pixel, allowing for 256 distinct shades of gray ranging from 0 (black) to 255 (white). This representation is common in digital imaging due to its balance between image detail and data size.

Thresholding

Thresholding is an image processing technique that involves comparing pixel intensity values to a specific threshold. Based on this comparison, pixels are classified into different groups, often to distinguish objects from the background.

Digital Image Representation

This concept refers to the way images are stored and processed digitally—typically as a two-dimensional array (or matrix) of numbers, where each number encodes information such as brightness or color for a small area of the image called a pixel.

Pixel

A pixel is the smallest unit in a digital image. It represents a single point in the image and contains numerical information for factors like intensity (in gray-level images) or a combination of color values in color images.

Binarization

Binarization is the process of converting a gray-level image into a binary image. By applying thresholding, pixels with intensities above or below a chosen value are set to either 1 or 0, simplifying the image for further analysis or processing.

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