This inventor holds 2 USPTO granted patents. Top assignee: American Sterilizer Company. Active years: 2024-2026.
Company Filing History:
Years Active: 2024-2026
Title: Sajeev Krishnan: Innovator in Imaging Technology
Introduction
Sajeev Krishnan is a notable inventor based in Ann Arbor, MI (US). He has made significant contributions to the field of imaging technology, particularly in the area of noise calibration for imaging devices. With a total of 2 patents, his work has advanced the capabilities of imaging systems.
Latest Patents
Sajeev's latest patents focus on dynamic fixed pattern noise calibrations. These patents describe dynamic systems and methods for fixed noise pattern calibrations and image corrections. The innovative approach involves adjusting an imaging sensor's exposure to acquire one or more black images. A global average pixel value is calculated to accumulate pixel values per column of the acquired image. This calculated global average pixel value is then saved as offset imaging data. Additionally, an average pixel value per column of the imaging data based on the accumulated pixel values may also be calculated and stored as offset imaging data. A correction matrix can be recomposed based on the offset imaging data, which is used for calibrating the imaging sensor and for creating corrected images in or near real time.
Career Highlights
Sajeev Krishnan is currently employed at the American Sterilizer Company, where he continues to innovate in the field of imaging technology. His work has been instrumental in enhancing the performance of imaging devices, making them more efficient and accurate.
Collaborations
Throughout his career, Sajeev has collaborated with notable colleagues, including Carsten Warneke and Arndt Bussmann. These collaborations have contributed to the development of advanced imaging solutions.
Conclusion
Sajeev Krishnan's contributions to imaging technology through his patents and work at the American Sterilizer Company highlight his role as an influential inventor in the field. His innovative approaches to noise calibration continue to shape the future of imaging devices.
