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Hamamoto-Satoh Lab
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The lab covers everything from designing the sensors that capture images to the processing that recognizes them.

AboutAbout the lab
Image engineering, from both hardware and software
The Hamamoto-Satoh Lab centers on signal processing of image information and researches three themes: image sensors, image processing systems, and computer vision.
In image sensors, the lab develops a new type of sensor that integrates imaging circuits and image processing circuits on a single chip, allowing processing to take place at the same time as imaging.
The lab covers everything from LSI design for image sensors to recognition technology based on machine learning, so its research is very broad.
It also conducts research related to VR/AR.
Key terms
- Image sensor
- An imaging device used in cameras and similar equipment. The lab also develops a type that performs imaging and image processing on a single chip
- Computer vision
- The field that deals with technologies for recognizing and understanding captured images and video
- CTIA circuit
- A charge-to-voltage conversion circuit that uses a tiny capacitance to obtain a large voltage from a minute charge
ResearchResearch themes
Built on three pillars (developing sensors that capture images, systems that process captured images, and technologies that recognize and understand images and video), the lab conducts research in image engineering. From both the hardware and software sides, it aims to improve imaging performance and to realize image processing and image synthesis based on new ideas.
*Illustrative imageImage sensors robust to large brightness differences
The lab proposed an image sensor that can capture with a different exposure time at each pixel. It simultaneously acquires multiple images of different brightness and combines them, obtaining images without blown-out highlights or crushed shadows even in scenes with large brightness differences.
*Illustrative imageHigh-sensitivity sensors for low light
The lab aims to raise image sensor sensitivity by using a CTIA circuit to obtain a large voltage from a minute charge. It is working on a sensor that acquires high-sensitivity images in low light and images of quality equivalent to a typical pixel circuit under normal illumination.
*Illustrative imageCapturing a wide brightness range with multiple cameras
The lab proposed a method for a multi-view camera system, in which multiple cameras are arranged side by side, that varies the light accumulation time of each camera. By integrating images of different brightness from each viewpoint, it can synthesize wide-dynamic-range free-viewpoint images.
*Illustrative imageClear color images at night using near-infrared images
In low-light environments such as at night, images degrade because of noise. Because near-infrared illumination makes it possible to acquire near-infrared images without noise degradation, the lab is developing a camera system that combines them with color images to reconstruct color images with reduced noise.
MembersFaculty
- Shunichi Satoh
- Takayuki Hamamoto
- Kosuke Kurihara
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “CMOS image sensor chip-scale package top” Phiarc / CC BY-SA 4.0 (cropped)
- Image sensors robust to large brightness differences: “High-dynamic-range imaging (HDRI or HDR)” AntanO / CC BY-SA 4.0 (cropped)
- High-sensitivity sensors for low light: “San Sebastian at night from Monte Urgull” Phillip Maiwald (Nikopol) / CC BY-SA 3.0 (cropped)
- Capturing a wide brightness range with multiple cameras: “Scan the Wild Camera Array” Tessa Bury / CC BY 4.0 (cropped)
- Clear color images at night using near-infrared images: “Engineers Install Near Infrared Camera into the Heart of Webb Telescope ( )” Chris Gunn / Public domain (cropped)
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