Stanford Advisors

Lab Affiliations

All Publications

  • The Color of Water: Using Underwater Photography to Estimate Water Quality Conference on Digital Photography X Breneman, J., Blasinski, H., Farrell, J. SPIE-INT SOC OPTICAL ENGINEERING. 2014

    View details for DOI 10.1117/12.2043132

    View details for Web of Science ID 000336250800024

  • Per-colorant-channel color barcodes for mobile applications: an interference cancellation framework. IEEE transactions on image processing Blasinski, H., Bulan, O., Sharma, G. 2013; 22 (4): 1498-1511


    We propose a color barcode framework for mobile phone applications by exploiting the spectral diversity afforded by the cyan (C), magenta (M), and yellow (Y) print colorant channels commonly used for color printing and the complementary red (R), green (G), and blue (B) channels, respectively, used for capturing color images. Specifically, we exploit this spectral diversity to realize a three-fold increase in the data rate by encoding independent data in the C, M, and Y print colorant channels and decoding the data from the complementary R, G, and B channels captured via a mobile phone camera. To mitigate the effect of cross-channel interference among the print-colorant and capture color channels, we develop an algorithm for interference cancellation based on a physically-motivated mathematical model for the print and capture processes. To estimate the model parameters required for cross-channel interference cancellation, we propose two alternative methodologies: a pilot block approach that uses suitable selections of colors for the synchronization blocks and an expectation maximization approach that estimates the parameters from regions encoding the data itself. We evaluate the performance of the proposed framework using specific implementations of the framework for two of the most commonly used barcodes in mobile applications, QR and Aztec codes. Experimental results show that the proposed framework successfully overcomes the impact of the color interference, providing a low bit error rate and a high decoding rate for each of the colorant channels when used with a corresponding error correction scheme.

    View details for DOI 10.1109/TIP.2012.2233483

    View details for PubMedID 23247852

  • Real-time, color image barrel distortion removal IEEE International Symposium on Circuits and Systems Blasinski, H., Hai, W., Lohier, F. IEEE. 2012: 1911–1914
  • FPGA ARCHITECTURE FOR REAL-TIME BARREL DISTORTION CORRECTION OF COLOUR IMAGES IEEE International Conference on Multimedia and Expo (ICME) Blasinski, H., Hai, W., Lohier, F. IEEE. 2011
  • The application of adaptive filters for motion prediction in visually tracked laparoscopic surgery IEEE International Conference on Robotics and Biomimetics (ROBIO 2007) Blasinski, H., Nishikawa, A., Miyazaki, F. IEEE. 2007: 360–365