Location History:
- Novgorod, RU (2020)
- Moscow, RU (2024)
Company Filing History:
Years Active: 2020-2024
Title: Kirill Victorovich Lebedev: Innovator in Image Processing Technologies
Introduction
Kirill Victorovich Lebedev is a prominent inventor based in Novgorod, Russia. He has made significant contributions to the field of image processing, particularly through his innovative methods that utilize neural networks. With a total of two patents to his name, Lebedev is recognized for his advancements in enhancing image quality and processing efficiency.
Latest Patents
Lebedev's latest patents include a "Method and device for joint denoising and demosaicing using neural network." This method involves obtaining image data collected by a color filter array (CFA) and performing joint denoising and demosaicing using a trained neural network. The neural network, which features a lightweight U-Net architecture, is trained on pairs of images with varying ISO values to generate high-quality output images. Another notable patent is the "Method and apparatus for processing image," which outlines an approach to process images by obtaining a pixel shift set from low-resolution images and generating a high-resolution image based on this data.
Career Highlights
Kirill Lebedev is currently employed at Samsung Electronics Co., Ltd., where he continues to develop innovative solutions in image processing. His work has been instrumental in advancing the capabilities of imaging technologies, making significant impacts in various applications.
Collaborations
Lebedev collaborates with talented individuals in his field, including Vladimir Gennadievich Kurmanov and Xenya Yurievna Petrova. These collaborations enhance the creative process and contribute to the development of cutting-edge technologies.
Conclusion
Kirill Victorovich Lebedev is a notable inventor whose work in image processing has led to significant advancements in the field. His innovative patents reflect his commitment to improving image quality through the use of neural networks.
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