In this article, we will learn how to convert a YIQ image into an RGB image using MATLAB programming. YIQ is color space used in analog display devices to display color images. It uses three components namely, Y (brightness), I (In−Phase), and Q (Quadrature) to distinguish the image. Here, the ... Read More

In this article, we will explore how to convert a colored image with three channels, i.e. RGB (Red, Green, and Blue) into a gray scale image using MATLAB. An RGB image is a digital image in which each pixel is represented as a combination of intensity of three−color channels, namely ... Read More

In this article, we will explore how to convert an RGB image to a binary image using MATLAB programming. An RGB image is one which is represented by using three color channels namely, Red, Green, and Blue. In the case of an RGB image, the three primary colors, namely red, ... Read More

HSI (also called HSV) and RGB are two different types of color spaces. Where, HSI stands for Hue Saturation and Intensity, (HSV stands for Hue Saturation Value). An image represented based on the color model of HSI is called an HSI image. On the other hand, RGB stands for Red ... Read More

In digital image processing, the process of extracting a specific color or color range from an image with all other colors are discarded is referred to as color slicing. In an image, the color slicing is performed by creating a binary mask that selects all the pixels in the image ... Read More

In this article, we will learn how to calculate cumulative product in MATLAB. So, lets, start with the basic definition of cumulative product. What is Cumulative Product? A mathematical operation in which the product of a sequence of numbers is computed in a cumulative manner is called cumulative product. In ... Read More

In this article, we will explore how to calculate covariance using MATLAB programming. But before that let’s have a look into the basic theory of covariance and importance. What is Covariance? Covariance is a statistical tool used to describe the correlation between two or more random variables. In other words, ... Read More

In digital image processing, filtering is defined as a process of modifying an image to enhance its visibility. Image filtering in digital image processing involves the use of some mathematical operations applied to each pixel of the image. It alters the pixel value to achieve the desired corrections like noise ... Read More

According to the convolution theorem for Fourier transform, the convolution of two signals in the time domain is equivalent to the multiplication in the frequency domain. Therefore, if two signals are convolved in the time domain, they result the same if their Fourier transforms are multiplied in the frequency domain. ... Read More

In digital signal processing and image processing, the convolution is a crucial mathematical operation. The primary function of the convolution is to combine two signals to produce a resulting signal. The resulting signal specifies the interaction between the two signals that we combined. In MATLAB, we can perform the convolution ... Read More