ABOUT IMAGE PROCESSING

Image processing is a method of improving or extracting usable information from an image by executing its operations. It's signal processing where the input is an image, and the output is either an image or image characteristics/features. Image processing is one of today's fastest-growing technologies. It is also a core research area in engineering and computer science.

The three basic processes of image processing are: importing the image using image acquisition software; analysing and modifying the image; and output, which could be an altered image or a report based on image analysis. Students will learn about photos and image processing in this course. Image Processing is taught short of providing students with an understanding of the principles of digital image processing and knowledge of the theories' applications.

WHAT IS IMAGE PROCESSING?

Studying computational approaches for analysing, storing, and interpreting digital content is central to image processing. Image Processing's sphere of influence has expanded in modern times to include various fields ranging from medical diagnostics to autonomous navigation. Students will learn the essential ideas and techniques of digital image processing in this course.

The topics of digital picture characterisation and representation, image improvement, and image segmentation will be discussed. In the image processing syllabus, students will learn about point operations, colour processing, image thresholding/segmentation, morphological image processing, image filtering, DE convolution, noise reduction and restoration, scale-space techniques, feature extraction and recognition, image registration, and image matching. The principles of pattern recognition algorithms and machines and statistical and structural approaches are covered in this course. Pattern representation data structures, feature discovery and selection data structures, classification vs description data structures, parametric and non-parametric classification data structures are there in the course.

Students will understand the fundamentals of image formation and transformation using sampling and quantisation by the end of the course. They will be familiar with the various signal processing techniques used for image sharpening and smoothing. They will also be able to perform and apply image data compression and coding techniques.

ELIGIBILITY AND CAREER IN IMAGE PROCESSING

For admission to the image processing program, Candidates who have completed a Bachelor of Engineering or Bachelor of Technology from a reputable institute with at least 60 per cent aggregate marks are eligible for this course. Candidates with prior knowledge of the subject will be given preference. Different exams are also held for the same purpose. Image preparation, construction, rectification, modification, and evaluation are all tasks performed by an image processing engineer. In other words, we can say that an image processing engineer can help identify, analyse, convert and extract any valuable information from a collection of collected photographs. Image processing has several focus areas, such as security-related imaging processing, feature classification, and communicating results on a hierarchical level after generating reports and creating presentations.

The Image Processing Engineer must work in a cross-functional environment, at times in close collaboration with other teams that include specialists in chemistry, software, electronics, and mechanical design, among other things.