A lot of challenges in Image processing include.

• Processing of Video including a lot o security issues ( Watermarking, Encryption and Stenography) using the different compression techniques.
• Video transmission over real wireless channels.
• Image enhancements based on Fusion techniques which is a very hot topic especially for Medical purposes.
• The deep learning and its wide applications in Signal processing.
• The Application of the Advanced Optimization techniques for solving the Multi-variable problems in several digital signal processing problems.

Good Luck

Prof. S. El-Rabaie

1. Object detection with deep learning

2. Real time object detection in video

3. Video Analysis with deep learning

4. Object classification with deep learning

I've worked with image processing for a good period of time (plant related researches)

maybe the most challenging thing is (in my opinion) the consistency and stability of light source during each photo section and throughout the project.

especially when using this technique to process color related traits

During image processing, major challenges can come across during various stages which can be categorized by factors affecting image acquisition, processing and analysis; image pre-processing; and image segmentation.

These challenges can be rectified with proper assessment methodologies.

Dear Dang Ngoc Hoang Thanh

Thank you for your question.

The answers of Prof El-Sayed Mahmoud El-Rabaie and Eng Mahmoud Khaled Abdellah are helpful

The main challenge in the image processing is that there is no single model or algorithm that is able to perform different tasks required.

Thanks and regards

Since Image Processing is a big domain, challenges associated with it cannot be summarized in one answer, but I have one short paper focused only on challenges of Image-based systems in event processing domain: https://dl.acm.org/citation.cfm?id=3095095

May be helpful for you.

Thanks.

We may consider the challenges from different viewpoints connected to the application domains. Medical image processing domain has its own hot topics with respect to segmentation and classification, while image processing with an emphasized focus on Biometrics imposes different challenges in feature extraction, features matching, and features storage and retrieval. In computer vision, object detection and segmentation in a crowded environment is still a hot topic. Secure image processing and secure transmission is another domain that holds its own challenges as well.