A novel smoothness-based interpolation algorithm for division of focal plane Polarimeters

In this paper, we present a novel smoothness-based interpolation algorithm for the division of focal plane Polarimeters (DoFP). By calculating the divided blocks' variance that represents their local smoothness, the proposed algorithm well-balances between the traditional bilinear and bicubic interpolation algorithms. In addition, compared with the previously reported gradient-based interpolation algorithm which only indicates the image's directional change along 0°, 90°, 45° and 135°, the presented smoothness-based algorithm covers the variations along all the possible directions, leading to more accurate selection between the bilinear and bicubic algorithms. According to our extensive simulation results, the proposed implementation exhibits the lowest mean square error (MSE) for the test images among all the previously reported algorithms, including bilinear, bicubic and gradient-based interpolation algorithms.

[1]  Sanshiro Shishido,et al.  Image sensor pixel with on-chip high extinction ratio polarizer based on 65-nm standard CMOS technology. , 2013, Optics express.

[2]  Viktor Gruev,et al.  Image interpolation and denoising for division of focal plane sensors using Gaussian processes. , 2014, Optics express.

[3]  Viktor Gruev,et al.  A 1 MPixel CCD image sensor with aluminum nanowire polarization filter , 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems.

[4]  Viktor Gruev,et al.  Gradient based interpolation for division of focal plane polarization imaging sensors , 2012, 2012 IEEE International Symposium on Circuits and Systems.

[5]  V. Gruev,et al.  Integrated spectral-polarization imaging sensor with aluminum nanowire polarization filters. , 2012, Optics express.

[6]  L. Macaire,et al.  Comparison of color demosaicing methods , 2010 .

[7]  V. Gruev,et al.  CCD polarization imaging sensor with aluminum nanowire optical filters. , 2010, Optics express.

[8]  Viktor Gruev,et al.  Gradient-based interpolation method for division-of-focal-plane polarimeters. , 2013, Optics express.

[9]  J Scott Tyo,et al.  Interpolation strategies for reducing IFOV artifacts in microgrid polarimeter imagery. , 2009, Optics express.

[10]  Bin Hui,et al.  Image interpolation for division of focal plane polarimeters with intensity correlation. , 2016, Optics express.

[11]  Viktor Gruev,et al.  Bilinear and bicubic interpolation methods for division of focal plane polarimeters. , 2011, Optics express.

[12]  Viktor Gruev,et al.  260 frames-per-second 648x488 resolution division-of-focal-plane polarimeter with structural dynamics and tracking applications. , 2016, Optics express.