Company Filing History:
Years Active: 2017
Title: Melike Bagcilar: Innovator in Image Processing Technology
Introduction
Melike Bagcilar is a prominent inventor based in Ankara, Turkey. She has made significant contributions to the field of image processing, particularly through her innovative patent that enhances the quality of images and video sequences. Her work is characterized by a focus on algorithms that improve visual fidelity.
Latest Patents
Melike Bagcilar holds a patent for a "Method and an apparatus for generating an approximate nearest neighbor field (ANNF) for images and video sequences." This algorithm performs super-resolution by splitting an input image or video into patches and utilizing image self-similarity. The method searches for similar patches in various downscaled versions of the image, aiming to locate the k most similar patches with minimal search iterations. The process involves generating multiple downscaled versions of the input video, creating an Inverse ANNF (IANNF), and filling gaps in the ANNF through random search. This innovative approach significantly enhances the quality of images and videos.
Career Highlights
Melike Bagcilar is currently associated with Thomson Licensing, where she applies her expertise in image processing technology. Her work at Thomson Licensing has allowed her to further develop her innovative ideas and contribute to advancements in the field.
Collaborations
Melike has collaborated with notable colleagues, including Jordi Salvador Marcos and Axel Kochale. These collaborations have enriched her research and development efforts, leading to impactful innovations in image processing.
Conclusion
Melike Bagcilar is a trailblazer in the realm of image processing, with her patent showcasing her innovative approach to enhancing visual quality. Her contributions continue to influence the field and inspire future advancements.