Compression of digital hologram for 3D object using wavelet-bandelets transform

Le Thanh Bang; Quang Duc Pham; Zulfiqar Ali; Jae-Hyeung Park; Nam Kim

doi:10.1117/12.873486

7 February 2011 Compression of digital hologram for 3D object using wavelet-bandelets transform

Le Thanh Bang, Quang Duc Pham, Zulfiqar Ali, Jae-Hyeung Park, Nam Kim

Proceedings Volume 7957, Practical Holography XXV: Materials and Applications; 795704 (2011) https://doi.org/10.1117/12.873486
Event: SPIE OPTO, 2011, San Francisco, California, United States

Abstract

In the transformation based compression algorithms of digital hologram for three-dimensional object, the balance between compression ratio and normalized root mean square (NRMS) error is always the core of algorithm development. The wavelet transform method is efficient to achieve high compression ratio but NRMS error is also high. In order to solve this issue, we propose a hologram compression method using Wavelet-Bandelets transform. Our simulation and experimental results show that the Wavelet-Bandelets method has a higher compression ratio than Wavelet methods and all the other methods investigated in this paper, while it still maintains low NRMS error.

Citation Download Citation

Le Thanh Bang, Quang Duc Pham, Zulfiqar Ali, Jae-Hyeung Park, and Nam Kim "Compression of digital hologram for 3D object using wavelet-bandelets transform", Proc. SPIE 7957, Practical Holography XXV: Materials and Applications, 795704 (7 February 2011); https://doi.org/10.1117/12.873486

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