Super-resolution imaging and field of view extension using a single camera with Risley prisms

Area of Science:

• Optics and Photonics
• Image Processing
• Optical Engineering

Background:

• Current imaging systems often face limitations in resolution and field of view (FOV).
• Pixel size limitations can restrict the achievable resolution in digital imaging systems.
• Super-resolution imaging and FOV extension are critical for various scientific and technological applications.

Purpose of the Study:

• To introduce a novel imaging method utilizing Risley prisms for super-resolution and FOV extension.
• To develop mathematical models and sub-pixel imaging solutions for super-resolution reconstruction.
• To validate the proposed method through simulations and experimental prototypes.

Main Methods:

• Development of mathematical models for super-resolution reconstruction using Risley prisms.
• Implementation of sub-pixel imaging techniques to overcome pixel size limitations.
• Construction and testing of a prototype imaging system.

Main Results:

• Simulations demonstrated resolution enhancement up to the optical diffraction limit.
• Experimental results showed a 2.0 times enhancement in scene resolving capacity.
• A resolution improvement factor of 4 was achieved, with FOV extension matching simulation predictions.

Conclusions:

• The proposed Risley prism-based imaging method offers a low-cost, high-efficiency approach.
• This technique provides a promising solution for super-resolution reconstruction and large FOV imaging.
• The method is suitable for applications like foveated imaging, enhancing overall imaging performance.