Khalil Hedi Chikhaoui

Title: Khalil Hedi Chikhaoui: Innovator in Image Retargeting Technology

Introduction

Khalil Hedi Chikhaoui is a prominent inventor based in Dhahran, Saudi Arabia. He has made significant contributions to the field of image processing, particularly through his innovative methods in image retargeting. His work is characterized by the integration of deep learning techniques to enhance image manipulation.

Latest Patents

Khalil holds a patent for an "Object-aware adaptive image retargeting method." This method involves segmenting an input image into multiple cells and detecting elements within the image using a deep learning-based semantic segmentation network. The process includes generating a segmentation map, a saliency map, and a variance map, which are then used to construct an importance map. This importance map is crucial for calculating a distortion threshold and determining modifications to be applied to each cell, ultimately resulting in a retargeted image. Khalil has 1 patent to his name.

Career Highlights

Khalil is affiliated with the King Fahd University of Petroleum and Minerals, where he continues to advance his research and development in image processing technologies. His academic background and professional experience have positioned him as a key figure in his field.

Collaborations

Khalil has collaborated with notable colleagues, including Ziyad Adel Alswaidan and Mohammad Hashem M Kenana Shullar. These collaborations have further enriched his research and contributed to the advancement of innovative technologies in image retargeting.

Conclusion

Khalil Hedi Chikhaoui's work in image retargeting exemplifies the intersection of technology and creativity. His innovative methods are paving the way for advancements in image processing, showcasing the potential of deep learning in practical applications.