Instructor: Ranganathan Hariharan, CMR Engineering College
Level: Intermediate
Prerequisites: Digital image processing

Benefits:
This course enables the attendee to:

• Understand the challenges and complexities of processing low-light and low-contrast images in digital image analysis.
• Apply contrast limited adaptive histogram equalization (CLAHE) techniques to enhance contrast in low-light and low-contrast images, improving visibility and detail.
• Acquire and apply knowledge of zero-reference deep curve estimation (Zero-DCE) to enhance low-light images by adjusting pixel brightness while preserving contrast, resulting in clearer and improved images
• Implement and Utilize MIRNet to enhance image quality, focusing on restoring details and brightness in low-light images using deep learning techniques.
• Develop and implement SR-GAN to attain super-resolution for low-quality images, optimizing images impacted by poor lighting and low contrast to produce high-quality, detailed outputs.
• Demonstrate the application of advanced image enhancement techniques with deep learning for practical applications in medical imaging, surveillance, and low-light environment.

Course Description:
This course offers a comprehensive study of advanced image enhancement techniques using deep learning to address the challenges posed by low-light and low-contrast images. Students gain insights into digital image analysis, learning to apply methods such as CLAHE for contrast improvement, Zero-DCE for optimal pixel brightness adjustment, and MIRNet for detail restoration. Additionally, the course covers SR-GAN for achieving super-resolution in low-quality images. Emphasizing practical applications, students develop skills relevant to medical imaging, surveillance, and other low-light scenarios, enabling them to effectively use these concepts in real-world challenges in image processing by the end of the course.

Intended Audience: Researchers and academics

Ranganathan Hariharan has a PhD from the Information Communication Faculty of Anna University, Chennai, India. He is a professor (Emeritus) at CMR Engineering College in Hyderabad, India. Hariharan has more than 20 years of experience in offering hardware and software solutions to various customers in India and more than 15 years of teaching experience in the areas of communication engineering and medical electronics. He has successfully guided 10 scholars for PhDs and has more than 40 research publications in international journals and conferences.