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Lossless coding of light field camera data captured with a micro-lens array and a color filter | IEEE Conference Publication | IEEE Xplore

Lossless coding of light field camera data captured with a micro-lens array and a color filter


Abstract:

This paper describes an efficient lossless coding scheme for Light Field Camera (LFC) data. To exploit correlations among color components, our scheme utilizes four kinds...Show More

Abstract:

This paper describes an efficient lossless coding scheme for Light Field Camera (LFC) data. To exploit correlations among color components, our scheme utilizes four kinds of linear predictors which correspond to a 2×2 pattern of the Bayer color filter array. Moreover, their combinations are adaptively switched according to local properties of the LFC data. In order to improve coding efficiency, in this paper, disposition of reference samples as well as partitioning patterns for the above adaptive prediction are investigated by considering structures of a micro-lens array and the color filter used in the LFC. Experimental results demonstrate that the average coding rate of the proposed scheme is about 26 % and 30 % lower than those of JPEG 2000 and JPEG-LS based schemes, respectively.
Date of Conference: 07-09 January 2018
Date Added to IEEE Xplore: 31 May 2018
ISBN Information:
Conference Location: Chiang Mai, Thailand
References is not available for this document.

I. Introduction

Recently, interest has been increasing in a new image capturing device called a Light Field Camera (LFC), because it provides attractive functionality such as changing the focus after the shot [1]. Since the LFC generally captures four dimensional light field information by a single image sensor with a micro-lens array and a color filter, requirement for resolution of the sensor is much higher than the conventional cameras. Accordingly, the LFC produces a large amount of raw data for every shot. This fact yields great demands for high efficient compression techniques to make the device more usable. In [2], lossy compression algorithms for a stack of two-dimensional images, which respectively correspond to different viewpoints and are synthesized from the raw data through several processing steps such as demosaicing, devignetting, brightness clipping and color space conversion, are discussed. However, such the processing steps introduce non-negligible round-off errors as well as resampling artifacts, and might deteriorate quality of the final images generated from the LFC data even if there is no degradation in a compression process.

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1.
R. Ng, M. Levoy, M. Brédif, G. Duval, M. Horowitz and P. Hanrahan, "Light Field Photography with a Hand-held Plenoptic Camera", Stanford Tech Report CTSR 2005-02, pp. 1-11, 2005.
2.
I. Viola, M. Rerabek, T. Bruylants, P. Schelkens, F. Pereira and T. Ebrahimi, "Objective and Subjctive Evaluation of Light Field Image Compression Algorithms", Proceedings of 2016 Picture Coding Symposium (PCS 2016), pp. 1-5, Dec. 2016.
3.
T. Abe, I. Matsuda and S. Itoh, "A Lossless Coding Scheme for Bayer Color Filter Array Images Using Block-Adaptive Prediction", Proceedings of 2009 International Workshop on Advanced Image Technology (IWAIT 2009), pp. 1-4, Jan. 2009.
4.
B. E. Bayer, Color Imaging Array, 1976.
5.
M. Harris, "Focusing on Everything", IEEE Spectrum, vol. 49, no. 5, pp. 44-50, May 2012.
6.
M. Kizaki, Y. Kameda, I. Matsuda and S. Itoh, "A Study on Adactive Prediction for Lossless Coding of Light Field Camera Data", Proceedings of 2015 ITE Winter Annual Convention, no. 12B-3, Dec. 2015.
7.
R. Kato, Y. Kameda, I. Matsuda and S. Itoh, "Lossless Coding of Light Field Camera Data Captured with a Bayer Color Filter Array", Proceedings of 2014 ITE Winter Annual Convention, no. 2-6, Dec. 2014.
8.
I. Tabus and P. Helin, "Microlens Image Sparse Modelling for Lossless Compression of Plenoptic Camera Sensor Images", Proceedings of 25th European Signal Processing Conference (EUSIPCO 2017), pp. 1957-1961, Aug. 2017.
9.
I. Matsuda, N. Ozaki, Y. Umezu and S. Itoh, "Lossless Coding Using Variable Block-Size Adaptive Prediction Optimized for Each Image", Proceedings of 13th European Signal Processing Conference (EUSIPCO 2005), Sep. 2005.
10.
A. Minezawa, S. Okazaki, I. Matsuda, S. Itoh, S. Naito and A. Koike, "Performance Improvement of the Lossless Video Coding Scheme by Adapting the Number of 3D Predictors Frame by Frame", Proceedings of 2008 International Workshop on Advanced Image Technology (IWAIT 2008), no. P3-5, Jan. 2008.
11.
Information Technology - JPEG 2000 Image Coding System, Mar. 2000.
12.
Information Technology - Lossless and Near-lossless Compression of Continuous-tone Still Images: Baseline, Dec. 1999.
13.
N. Zhang and X. L. Wu, "Lossless Compression of Color Mosaic Images", IEEE Trans. on Image Processing, vol. 15, no. 6, pp. 1379-1388, Jan. 2006.

References

References is not available for this document.