Earticle

초록

영어

One method to compress a pair of stereo images is to compress the first image independently and then compress the second image by estimating the disparity between the two images. The first image was transformed using 2-D Discrete Cosine Transform, quantized using the JPEG quantization matrix and finally encoded into a bitstream using arithmetic encoding. The disparity between the two images was estimated by the Exhaustive Block Matching Algorithm (EBMA) and the resulting disparity vector was then encoded into a bitstream. The images were then decoded and were compared with the original images.

목차

Abstract
 1. Introduction
 2. Stereoscopic Image Encoder
  2.1. Transformation
  2.2. Quantization
  2.3. Arithmetic Encoding
  2.4. Disparity Estimation Using the Exhaustive Block Matching Algorithm
 3. Decoding the Image
  3.1 Arithmetic Decoding
  3.2 Inverse Quantization
  3.3 Inverse Transform
  3.4 Re-constructing the Second Image
 4. Results
  4.1 Corridor
  4.2 Tsukuba
  4.3 Rocks
  4.4 Aloe
 5. Conclusion
 References

키워드

저자

• Ashish Agarwal [ Student, School of Engineering Science Simon Fraser University, Canada ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Advanced Science and Technology

• 간기

  월간

• pISSN

  2005-4238

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605