Phase coded optics for computational imaging systems

Chir-Weei Chang; Yung-Lin Chen; Chuan-Chung Chang; Po-Chang Chen

doi:10.1117/12.854104

5 May 2010 Phase coded optics for computational imaging systems

Chir-Weei Chang, Yung-Lin Chen, Chuan-Chung Chang, Po-Chang Chen

Proceedings Volume 7723, Optics, Photonics, and Digital Technologies for Multimedia Applications; 772317 (2010) https://doi.org/10.1117/12.854104
Event: SPIE Photonics Europe, 2010, Brussels, Belgium

Abstract

Computational imaging technology can modify the acquisition process to capture extra information at the sensor that can be used for various photographic applications, including imaging with extended depth of field, refocusing photographs after the image is taken or depth extraction for 3D applications. In this paper, we propose a generalized phase coded imaging which involves encoding of the captured light and post-capture decoding for improved features and performance. Phase coded optics utilizes optics to purposely encode specific object information in a more efficient way, which is the most flexible and cost effective solution for correcting optical aberrations or any other optical functions. Practically any shape can be generated on any lens surface for shaping the point spread function of the lens module to achieve desired image results. Phase coded optics is a more general scheme than previous proposed for finding the optimal solutions in digital imaging systems and has proven to be an enabling technology to the imaging problem. Some of the possible applications based on this technique are also investigated in this paper.

Citation Download Citation

Chir-Weei Chang, Yung-Lin Chen, Chuan-Chung Chang, and Po-Chang Chen "Phase coded optics for computational imaging systems", Proc. SPIE 7723, Optics, Photonics, and Digital Technologies for Multimedia Applications, 772317 (5 May 2010); https://doi.org/10.1117/12.854104

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available