Image compression is the process of encoding digital image data with fewer bits than an unencoded representation by employing specific encoding schemes. When storing and transmitting images, image compression is a popular method to reduce storage and bandwidth requirements. However, as a result of image compression, the image quality suffers. We offer solutions to restore image quality using techniques such as Super Resolution.
To achieve our goals of enhancing traditional video coding tools with AI, our team is currently working on providing a solution for the Super Resolution (SR) problem that is comparable to state-of-the-art models with less memory consumption and better time efficiency.
High dynamic range (HDR) imaging is an important tool for the acquisition, display, and storage of high-fidelity images that contain a significantly wider luminance spectrum than standard images. The increasing use of smart devices and the demand for high-quality output necessitate the development of fast and accurate techniques to process HDR content for reliable reproduction on various types of displays.