전자공학회논문지 (Journal of the Institute of Electronics and Information Engineers)

  • 제52권3호
  • /
  • Pages.67-74
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  • 2015
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  • 2287-5026(pISSN)
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  • 2288-159X(eISSN)
대한전자공학회 (The Institute of Electronics and Information Engineers)
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LCD 오버드라이브를 위한 다중 모드 BTC 영상 압축 알고리즘

Multi-Mode BTC Image Compression Algorithm for LCD Overdriving

  • Cho, Moonki (Div. of Electronic Engineering, Inha University) ;
  • Yoon, Yungsup (Div. of Electronic Engineering, Inha University)
  • 투고 : 2014.06.11
  • 심사 : 2015.02.25
  • 발행 : 2015.03.25
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⟨ 이전 논문 다음 논문 ⟩

초록

BTC (Block Truncation Coding) 영상 압축은 하드웨어 구현이 간단하고, 영상의 에지 보존 능력이 뛰어나, LCD 오버드라이브의 압축 기법으로 널리 사용되어지고 있다. 본 논문에서는 높은 화질을 유지하고 높은 압축률을 얻기 위한 방법으로, Multi-Mode BTC (MM-BTC) 알고리즘을 제안한다. 본 논문에서 제안하는 advanced Y-based BTC 방법으로 RGB 각각의 비트맵을 하나의 비트맵으로 단일화 하여 압축 율을 높였고, 본 논문에서 제안하는 improved 2-level 와 4-level BTC 방법을 사용하여 높은 화질을 얻도록 하였다. 시뮬레이션 확인 결과, MM-BTC 는 기존 연구된 BTC 알고리즘 결과보다 최대 2.34 dB 높은 정지 영상 PSNR(Peak Signal to Noise Ratio)결과를 확인 할 수 있었다. LCD overdrive 에 적용한 동영상 PSNR과 비교 결과, MM-BTC 가 기존 연구된 BTC 알고리즘 결과보다 최대 2.33 dB 높은 PSNR 결과가 확인되었다.

BTC (Block Truncation Coding) image compression is simple to implement by hardware and has excellent edge retention capability of image, image compression techniques are widely used in LCD overdrive. In this paper, to maintain high visual quality and has high compression rate, Multi-Mode BTC (MM-BTC) algorithm is proposed. The MM-BTC has high compression rate using advanced Y-based BTC method and has high visual quality using improved 2-level and 4-level BTC method in this paper. As shown in simulation results, MM-BTC improves still image PSNR (Peak Signal to Noise Ratio) up to 2.34 dB as compared with other algorithms. When the MM-BTC is applied to LCD overdrive, MM-BTC improves moving picture PSNR up to 2.33 dB as compared with other algorithms in literature.

키워드

참고문헌

  1. R. H. M. Wubben and G. J. Hekstra, "LCD overdrive frame memory reduction using scalable DCT-based compression," SID Symposium Digest of Technical Papers, vol. 35, no.1, pp. 1348-1351, May 2004.
  2. Jin-Su Byeon, Hyeon-Seop Kim, Do-Seok Kim, Eun-Seon Jeon, In-Seong Hong, and Bo-Gwan Kim, "A Overdrive Technique Architecture for the Frame Memory Reduction based on DWT and Color Conversion," Journal of The Institute of Electronics Engineers of Korea, vol. 46-SD, no.1, pp. 85-91, Jan., 2009.
  3. R. H. M. Wubben and G. J. Hekstra, "LCD overdrive frame memory reduction using scalable DCT-based compression," SID Symposium Digest of Technical Papers, vol. 35, no.1, pp. 1348-1351, May 2004.
  4. I. J. Chun, H. Mun, J. H. Sung, S. Y. Park, and B. G. Kim, "Overdrive frame memory reduction using a fast discrete wavelet transform," Proc. of 21st Int. Technical Conf. on Circuits/Systems, Computer and Communications (ITC-CSCC''06), Chiang Mai, Thailand, July 2006, pp. 161-164.
  5. K. Nakanishi, S. Takahashi, and H. Oura, "Fast response 15-in. XGA TFT-LCD with feed-forward driving (FFD) technology for multimedia applications," SID Symposium Digest of Technical Papers, vol. 32, no.1, pp. 488-491, May 2001.
  6. Jin Hyung Kim and Yun Ho Ko, "Dual BTC Image Coding technique for Full HD Display Driver," Journal of The Institute of Electronics Engineers of Korea, vol. 49-SP, no.4, pp. 1-9, July, 2012.
  7. E. J. Delp and O. R. Mitchell, "Image compression using block truncation coding," IEEE Transactions on Communication, vol. 27, no. 9, pp. 1335-1342, Sep. 1979. https://doi.org/10.1109/TCOM.1979.1094560
  8. J. Someya, A. Nagase, N. Okuda, K. Nakanishi, and H. Sugiura, "Development of single chip overdrive LSI with embedded frame memory," SID Symposium Digest of Technical Papers, vol. 39, no.1, pp. 464-467, May 2008.
  9. J. Wang, K. Y. Min, Y. C. Jeung, and J. W. Chong, "Improved BTC using luminance bitmap for color image compression," in Proceedings of the 2009 2nd International Congress on Image and Signal Processing, CISP'09, 2009.
  10. J. Wang, K. Y. Min, and J. W. Chong, "Cost Effective Block Truncation Coding for Color Image Compression," AISS, 2(3):91-98, 2010.
  11. H. Sheikh, Z. Wang, L. Cormack, and A. Bovik, "LIVE image quality assessment database release 2," Sep., 2006.