We apply our highly efficient, lightweight AI technology to enhance image quality in small sensors. Our approach overcomes challenges such as limited sensor area, power consumption standards, and calorific value controls. Our techniques include AI-RMSC, bad pixel removal, moire pattern removal, HDR fusion, color fusion, RAW domain deblurring, and depth map enhancement.

Our AI Sensor Algorithm is controllable and adjustable. It combines physical property-based imaging models with machine learning, unlike the black-box nature of ordinary AI algorithms. This provides intuitive and robust parameters to adjust and tune image quality, while adapting to a wide range of sensors and ISP chip platforms. The algorithm ensures excellent image quality and full compliance with traditional sensor standards related to parameter tunability.

Our AI Sensor Algorithm RTL design and implementation capability addresses challenges in sensor RAW data processing, including storage, power consumption, and RAM reading and writing. It meets the performance requirements of image sensor hardware IP design while ensuring image quality. Tetras.AI has successfully applied sensor hardware IP design in flagship mobile phone models, including RGBW and 224OCL.