Wave-optics-based image synthesis for super resolution reconstruction of a FZA lensless camera.

A Fresnel Zone Aperture (FZA) mask for a lensless camera, an ultra-thin and functional computational imaging system, is beneficial because the FZA pattern makes it easy to model the imaging process and reconstruct captured images through a simple and fast deconvolution. However, diffraction causes a mismatch between the forward model used in the reconstruction and the actual imaging process, which affects the recovered image's resolution. This work theoretically analyzes the wave-optics imaging model of an FZA lensless camera and focuses on the zero points caused by diffraction in the frequency response.

Computational see-through screen camera based on a holographic waveguide device.

This study proposes a novel computational imaging system that integrates a see-through screen (STS) with volume holographic optical elements (vHOEs) and a digital camera unit. Because of the unique features of the vHOE, the STS can function as a holographic waveguide device (HWD) and enable the camera to capture the frontal image when the user gazes at the screen. This system not only provides an innovative solution to a high-quality video communication system by realizing eye-contact but also contributes to other visual applications due to its refined structure.

Image reconstruction with transformer for mask-based lensless imaging.

A mask-based lensless camera optically encodes the scene with a thin mask and reconstructs the image afterward. The improvement of image reconstruction is one of the most important subjects in lensless imaging. Conventional model-based reconstruction approaches, which leverage knowledge of the physical system, are susceptible to imperfect system modeling.

Incoherent reconstruction-free object recognition with mask-based lensless optics and the Transformer.

A mask-based lensless camera adopts a thin mask to optically encode the scene and records the encoded pattern on an image sensor. The lensless camera can be thinner, lighter and cheaper than the lensed camera. But additional computation is required to reconstruct an image from the encoded pattern.

Lensless inference camera: incoherent object recognition through a thin mask with LBP map generation.

We propose a preliminary lensless inference camera (LLI camera) specialized for object recognition. The LLI camera performs computationally efficient data preprocessing on the optically encoded pattern through the mask, rather than performing computationally expensive image reconstruction before inference. Therefore, the LLI camera avoids expensive computation and achieves real-time inference.

Light field reconstruction with randomly shot photographs.

Light field imaging is a promising technique for recording and displaying three-dimensional (3D) scenes. Light field reconstruction using a conventional camera, instead of a lens-array-based plenoptic camera, is expected to have a higher resolution. However, in existing conventional-camera-based methods, the camera placement is restricted.