Defintion: Digital image processing is the process of using computer algorithms to perform image processing on digital images.
- Latest topics in digital image processing for research and thesis are based on these algorithms.
Being a subcategory of digital signal processing, digital image processing is better and carries many advantages over analog image processing.
- It permits to apply multiple algorithms to the input data and does not cause the problems such as the build-up of noise and signal distortion while processing.
- As images are defined over two or more dimensions that make digital image processing “a model of multidimensional systems”.
The history of digital image processing dates back to early 1920s when the first application of digital image processing came into news. Many students are going for this field for their master’s thesis as well as for Ph.D. thesis.
Formation of Digital Images
Firstly, the image is captured by a camera using sunlight as the source of energy. For the acquisition of the image, a sensor array is used. These sensors sense the amount of light reflected by the object when light falls on that object. A continuous voltage signal is generated when the data is being sensed. The data collected is converted into a digital format to create digital images. For this process, sampling and quantization methods are applied. This will create a 2-dimensional array of numbers which will be a digital image.
