Dynamsoft Blog

What Is Image Enhancement in Image Processing Digital image processing plays a critical role in improving the quality and usability of visual data. One of its most important components is image enhancement, a set of image enhancement techniques designed to improve brightness, clarity, and overall interpretability. Methods such as contrast...

What Is a Color Model in Image Processing? Color models are fundamental to digital image processing because they define how colors are represented and interpreted in images. Digital color models, also known as image processing color spaces, provide structured color representation techniques that enable accurate analysis and manipulation of visual...

In image processing, the term morphology refers to a set of operations which analyzes shapes to fill in small holes, remove noises, extract contours, etc. A morphological operation is a lot like the filtering process in spatial convolution. There are two parts in play: a structuring element and a predefined...

In the last post, we discussed gamma transformation, histogram equalization, and other image enhancement techniques. The commonality of these methods is that the transformation is directly related to the pixel gray value, independent of the neighborhood in which the pixel is located. In this post, we take a look at...

Point operations in image processing transform pixel intensities using a mapping function, often written as s = T(r), where r is the input intensity and s is the output intensity. They support brightness and contrast adjustments without combining neighboring pixel values as spatial filters do This post discusses the basic...

In the last post, we discussed a few common color models, specifically RGB, HSV, and YUV. A color model is an abstract mathematical model that describes how colors can be represented as a set of numbers. In this post, we will look at how to convert them to grayscale. Grayscale...

Image processing and computer vision are hot trends in computer science that continue to show strong signs of momentum into the future due to their wide application and optimistic development prospects. In the first post of this blog series, we introduce the fundamentals of image processing by looking at what are images and how...

Image Processing 101 blog series Chapter 1.1: What is an Image? Chapter 1.2: Color Models Chapter 1.3: Color Space Conversion Chapter 2.1: Image Enhancement Chapter 2.2: Point Operations Chapter 2.3: Spatial Filters (Convolution)