Abstract

In an effort to increase the capability of modern camera systems, recent advances in imaging technology have seen the maturation of postprocessing and demosaicing algorithms, multispectral imagers, and scene-splitting techniques. Although highly enabling, each of these methods faces an inherent limitation imposed by the camera’s geometry. By reevaluating the fundamental components of the camera, this study presents a new method and paradigm in capturing and processing scene information. The proposed camera design is validated and optimized using Zemax simulations. The results show that light entering a camera can be split into three independent, spatially separated, full-scene images, wherein each image retains all spectral, polarimetric, and relative intensity information of the original scene.

© 2022 Optica Publishing Group

FlatNet3D: intensity and absolute depth from single-shot lensless capture

Dhruvjyoti Bagadthey, Sanjana Prabhu, Salman S. Khan, D Tony Fredrick, Vivek Boominathan, Ashok Veeraraghavan, and Kaushik Mitra
J. Opt. Soc. Am. A 39(10) 1903-1912 (2022)

Human detection in occluded scenes through optically inspired multi-camera image fusion

Maryam Ghaneizad, Zahra Kavehvash, and Hamid Aghajan
J. Opt. Soc. Am. A 34(6) 856-869 (2017)

Iterative color constancy with temporal filtering for an image sequence with no relative motion between the camera and the scene

Josemar Simão, Hans Jörg Andreas Schneebeli, and Raquel Frizera Vassallo
J. Opt. Soc. Am. A 32(11) 2033-2043 (2015)

Ray-transfer functions for camera simulation of 3D scenes with hidden lens design

Thomas Goossens, Zheng Lyu, Jamyuen Ko, Gordon C. Wan, Joyce Farrell, and Brian Wandell
Opt. Express 30(13) 24031-24047 (2022)

Improved method for spectral reflectance estimation and application to mobile phone cameras

Shoji Tominaga, Shogo Nishi, Ryo Ohtera, and Hideaki Sakai
J. Opt. Soc. Am. A 39(3) 494-508 (2022)