원문정보
피인용수 : 0건 (자료제공 : 네이버학술정보)
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
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
저자정보
참고문헌
자료제공 : 네이버학술정보