High accuracy image restoration method for seeing through water

Kalyan K. Halder; Murat Tahtali; Sreenatha G. Anavatti

doi:10.1117/12.2061643

23 September 2014 High accuracy image restoration method for seeing through water

Kalyan K. Halder, Murat Tahtali, Sreenatha G. Anavatti

Proceedings Volume 9217, Applications of Digital Image Processing XXXVII; 921702 (2014) https://doi.org/10.1117/12.2061643
Event: SPIE Optical Engineering + Applications, 2014, San Diego, California, United States

Abstract

This paper presents an algorithm for recovering an image from a sequence of distorted versions of it, where the distortions are caused by a wavy water surface. A robust non-rigid image registration technique is employed to determine the pixel shift maps of all the frames in the sequence against a reference frame. An iterative image dewarping algorithm is applied to correct the geometric distortions of the sequence. A non-local means filter is used to mitigate noise and improve the signal-to-noise ratio (SNR). The performance of our proposed method is compared against the state-of-the-art method. Results show that our proposed method performs significantly better in removing geometric distortions of the underwater images.

Citation Download Citation

Kalyan K. Halder, Murat Tahtali, and Sreenatha G. Anavatti "High accuracy image restoration method for seeing through water", Proc. SPIE 9217, Applications of Digital Image Processing XXXVII, 921702 (23 September 2014); https://doi.org/10.1117/12.2061643

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