Are you a student grappling with MATLAB assignments, feeling lost in a sea of complex codes and intricate algorithms? Fear not! In this blog post, we will dive into a challenging MATLAB assignment question, demystify the underlying concept, and provide a step-by-step guide to help you conquer it with ease. Whether you're a seasoned coder or just starting with MATLAB, our goal is to make your assignment journey smoother and more enjoyable.

The Challenge:

Let's delve into a question that often leaves students scratching their heads: "Implement a simple image processing algorithm using MATLAB to enhance contrast." Image processing may sound daunting, but fear not; we will break it down into manageable steps.

Understanding the Concept:

Contrast enhancement involves improving the visibility of details in an image. MATLAB, with its powerful image processing toolbox, makes this task more straightforward than it may seem.

Step-by-Step Guide:

• Import the Image:

Begin by loading your image into MATLAB using the imread function.

img = imread('your_image.jpg');

• Convert to Grayscale:

To simplify the process, convert the image to grayscale using the rgb2gray function.

gray_img = rgb2gray(img);

• Contrast Stretching:

Enhance contrast using a technique called contrast stretching. Use the imadjust function to scale pixel values.

stretched_img = imadjust(gray_img);

• Display Original and Enhanced Images:

Use the imshow function to visualize the original and enhanced images side by side.

subplot(1, 2, 1), imshow(gray_img), title('Original Image');
subplot(1, 2, 2), imshow(stretched_img), title('Enhanced Image');

• Save the Enhanced Image:

Save your enhanced image using the imwrite function.

imwrite(stretched_img, 'enhanced_image.jpg');