Efficient VLSI Architecture of Full-Image Guided Filter Based on Two-Pass Model 


Vol. 41,  No. 11, pp. 1507-1514, Nov.  2016


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  Abstract

Full-image guided filter reflects all pixels of image in filtering by using weight propagation and two-pass model, whereas the existing guide filter is processed based on the kernel window. Therefore the computational complexity can be improved while maintaining characteristics of guide filter, such as edge-preserving, smoothing, and so on. In this paper, we propose an efficient VLSI architecture for the full-image guided filter by analyzing the data dependency, the data frequency and the PSNR analysis of the image in order to achieve enough speed for various applications such as stereo vision, real-time systems, etc. In addition, the proposed efficient scheduling enables the realtime process by minimizing the idle period in weight computation. The proposed VLSI architecture shows 214㎒ of maximum operating frequency (image size: 384*288, 965 fps) and 76K of gates (internal memory excluded).

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  Cite this article

[IEEE Style]

G. Lee and T. Park, "Efficient VLSI Architecture of Full-Image Guided Filter Based on Two-Pass Model," The Journal of Korean Institute of Communications and Information Sciences, vol. 41, no. 11, pp. 1507-1514, 2016. DOI: .

[ACM Style]

Gyeore Lee and Taegeun Park. 2016. Efficient VLSI Architecture of Full-Image Guided Filter Based on Two-Pass Model. The Journal of Korean Institute of Communications and Information Sciences, 41, 11, (2016), 1507-1514. DOI: .

[KICS Style]

Gyeore Lee and Taegeun Park, "Efficient VLSI Architecture of Full-Image Guided Filter Based on Two-Pass Model," The Journal of Korean Institute of Communications and Information Sciences, vol. 41, no. 11, pp. 1507-1514, 11. 2016.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880