Gradient-based interpolation method for division-of-focal-plane polarimeters.

Recent advancements in nanotechnology and nanofabrication have allowed for the emergence of the division-of-focal-plane (DoFP) polarization imaging sensors. These sensors capture polarization properties of the optical field at every imaging frame. However, the DoFP polarization imaging sensors suffer from large registration error as well as reduced spatial-resolution output. These drawbacks can be improved by applying proper image interpolation methods for the reconstruction of the polarization results. In this paper, we present a new gradient-based interpolation method for DoFP polarimeters. The performance of the proposed interpolation method is evaluated against several previously published interpolation methods by using visual examples and root mean square error (RMSE) comparison. We found that the proposed gradient-based interpolation method can achieve better visual results while maintaining a lower RMSE than other interpolation methods under various dynamic ranges of a scene ranging from dim to bright conditions.

[1]  V. Gruev,et al.  Characterization of a visible spectrum division-of-focal-plane polarimeter. , 2012, Applied optics.

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

[3]  Viktor Gruev,et al.  Signal-to-noise analysis of Stokes parameters in division of focal plane polarimeters. , 2010, Optics express.

[4]  Andrea Alù,et al.  Manipulating light polarization with ultrathin plasmonic metasurfaces , 2011 .

[5]  Viktor Gruev,et al.  Complementary fluorescence-polarization microscopy using division-of-focal-plane polarization imaging sensor , 2012, Journal of biomedical optics.

[6]  A. De Martino,et al.  Polarimetric imaging for the diagnosis of cervical cancer , 2008 .

[7]  J Scott Tyo,et al.  Review of passive imaging polarimetry for remote sensing applications. , 2006, Applied optics.

[8]  Charles D. Creusere,et al.  Passive Polarimetric Imagery-Based Material Classification Robust to Illumination Source Position and Viewpoint , 2011, IEEE Transactions on Image Processing.

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

[10]  Yoav Y Schechner,et al.  Polarization-based vision through haze. , 2008, Applied optics.

[11]  Katsushi Ikeuchi,et al.  Polarization-based inverse rendering from a single view , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[12]  David San Segundo Bello,et al.  Integrated Polarization Analyzing CMOS Image Sensor for Material Classification , 2011, IEEE Sensors Journal.

[13]  V. Neel,et al.  Multimodal polarization system for imaging skin cancer , 2009 .

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

[15]  R. Keys.  Cubic convolution interpolation for digital image processing , 1981 .

[16]  Viktor Gruev,et al.  A correlation-based interpolation algorithm for division-of-focal-plane polarization sensors , 2012, Defense + Commercial Sensing.

[17]  Birgit Greiner,et al.  Celestial polarization patterns during twilight. , 2006, Applied optics.

[18]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

[20]  Zhou Dengwen.  An edge-directed bicubic interpolation algorithm , 2010, 2010 3rd International Congress on Image and Signal Processing.

[21]  Shree K. Nayar,et al.  Polarization-based vision through haze , 2003 .

[22]  A. C. Neville,et al.  Form optical activity in crustacean cuticle , 1971 .

[23]  Viktor Gruev,et al.  Image interpolation methods evaluation for division of focal plane polarimeters , 2011, Defense + Commercial Sensing.

[24]  Y.Y. Schechner,et al.  Recovery of underwater visibility and structure by polarization analysis , 2005, IEEE Journal of Oceanic Engineering.

[25]  A. Alú,et al.  Twisted optical metamaterials for planarized ultrathin broadband circular polarizers , 2012, Nature Communications.

[26]  P. D. Flammer,et al.  Ultra-high extinction ratio micropolarizers using plasmonic lenses. , 2011, Optics express.

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

[28]  Nicola Asuni,et al.  Submitted to Ieee Transactions on Image Processing 1 Real Time Artifact-free Image Upscaling , 2022 .