Digital Image Processing

About Digital Image Processing

The use of a digital computer to run an algorithm on digital photographs is known as "digital image processing." Digital image processing offers significant benefits over analog image processing as a subfield or area of digital signal processing.

Digital image processing has gained immense popularity across the globe resulting in huge demand for certified professionals.

Why is Digital Image Processing important?

Picture processing's primary goal is to convert a physical image into a digital format and apply various operations to it in order to create certain models or extract information from the image. Image processing in the future will include searching the cosmos for extraterrestrial intelligent life. Advances in image processing applications will also be present in new intelligent, digital species developed entirely by research scientists in different countries around the world.

Digital image processing certified professionals, executives and managers are in high demand in companies across the globe.

Who should take the Digital Image Processing Exam?

• Software managers, senior executives, executives
  
• Image Signal Processing Engineer
• Data Scientist
• Digital Image Analyst
• Students in the Software, IT, and Engineering fields.

Knowledge and Skills required for the Digital Image Processing

Specific skills are needed to excel in career of digital image processing which includes analytical bent of mind and quick learning skills.

Digital Image Processing Practice Exam Objectives

Digital Image Processing exam focuses on assessing your skills and knowledge in digital imaging and image processing.

Digital Image Processing Practice Exam Pre-requisite

There are no prerequisites for the Digital Image Processing exam. Candidates who are well versed  in digital imaging and image processing can easily clear the exam.

Digital Image Processing Certification Course Outline

1. Digital Image Processing Fundamentals
2. Spatial and Intensity Resolution, Concept of Interpolation
3. Intensity Transformations and Spatial Filtering - Background
4. Some Basic Intensity Transformation Functions
5. Piece-wise Linear Transformations
6. Histograms
7. Spatial Filtering
8. Color Models
9. Morphological image processing
10. Erosion and Dilation
11. Image Segmentation

Exam Format and Information

Certification name – Certificate in Digital Image Processing
Exam duration – 60 minutes
Exam type - Multiple Choice Questions
Eligibility / pre-requisite - None
Exam language - English
Exam format - Online
Passing score - 25
Exam Fees  - INR 1199