The Journal of the Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회논문지)

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
권호 표지
DOI QR코드

DOI QR Code

Establishment Threshold Value of Image Realization & Reconstruction of Stoppage Image using Picture Resemblance

닮은꼴을 이용한 영상구현 임계값설정과 정지영상 복원법

  • 진현수 (백석대학교 정보통신학부)
  • Received : 2010.10.03
  • Accepted : 2011.08.12
  • Published : 2011.08.31
Download PDF
⟨ Previous Next ⟩

Abstract

In this paper, JPEG(Joint Photographic Experts Group) image data video decoding technique is presented, it is Huffman decoding method and fractal image method which is very complexive algorithm and the time required much it to implement this method and the first image is decoded to video frame image. This have defect of overlap decoding and transport work because of impossible to represent objective value of resemblance. The proposed method was calculated the mathematical absolute image resemblance and simplify the moving picture process to reducing the step of moving picture codefying. The results show that smoothed moving picture compared recent methods.

본 논문에서는 JPEG(Joint Photographic Experts Group)영상 디코더에서 영상데이타를 디코딩하는 기술에 관한 것으로, 종래의 정지영상 처리기에서는 허프만 코드화 처리를 하여 제1영상을 부호화한후 분할기반 부호화 방식의 연속영상 처리기법을 사용하였으나 작은화면의 코드화시에도 많은 계산 알고리즘이 필요하고 이미지의 닮음정도를 객관적수치로 표현할 수 없어서 비슷한 이미지를 중복 코드화 및 전송 작업을 하는 결함이 있었다. 본 논문에서는 이를 해결하기 위하여 이미지의 닮음정도를 수치화하고 기준값 이하의 영상은 코드화 작업을 하지않고 계산된 영상 변화값에 의해 구현된 영상으로 대체하여 저장 및 전송하도록 저장용량의 감축 및 시각적으로 전혀 거부감이 없는 정지영상을 구현하였다.

Keywords

References

  1. P.H.Westerink, D.E.Boekee, J.BiemondandJ.W.Woods, "Subband Coding of Image UsingVectorQuantization", IEEE Trans.Commun.,vol.36.pp.713-719. June 1988 https://doi.org/10.1109/26.2791
  2. P.A.Chau, T.Lookabaugh, and R.M.Gray, "Entropy-Constrained Vector Quantization", IEEE Trans. Acoust., SpeechandSignalProcess., vol.ASSP-37, pp.31-42,Jan.1989
  3. A.Gersho, "AsymptoticallyOptimal Block Quantization," IEEE trans.Inform. Theory, vol. IT-27, pp.280-291, May 1981.
  4. J.W.Modestino and Y.H.Kim, "Adaptive Entropy -Coded Predictive Vector Quanti -zation of Images," to appear in IEEE Trans. Acoust., Speech, and Signal Process., June 1992.
  5. Y.H.Kimand J.W.Modestino, "Adaptive Entropy-CodedPruned ree-Structured Predictive Vector quantization of images," to appear in IEEE Trans. on ommun. https://doi.org/10.1109/26.212377
  6. J.B.Anderson, T.Aulin, and C.E.Sundber Digital Phase Modulation, Plenum Press, New York,1986
  7. H.Musmann, "Object Oriented Analysis -Synthesis Coding of Moving Images", Signal Process: Image Communication,1(1),1998
  8. R.C.Wood, "An optimum quantization," IEEE Trans.Inform.Theory, vol, IT-5, March 1999
  9. I.F. Akyildiz, W. Su,Y. Sankarasu "A Digital Decoding Threshold Hold Value," IEEE Communication Magazine, vol.40, no.8, pp.102-114, Aug. 2002. https://doi.org/10.1109/MCOM.2002.1024422
  10. Y.Tian, K.Xu, and N.Ansari, "Tcp Wireless environment:Problems and Solution," IEEE Communication Magazine, vol. 70,no. 6, pp.12-14, Mar. 2005.