Dissertation > Excellent graduate degree dissertation topics show

Comparison of Several Lossless Image Compression and Coding Algorithms

Author: FengXi
Tutor: LiangYanBing
School: Xi'an Optics and Fine Mechanics
Course: Signal and Information Processing
Keywords: Lossless compression LOCO-I Integer Wavelet SPIHT
CLC: TP391.41
Type: Master's thesis
Year: 2008
Downloads: 567
Quote: 6
Read: Download Dissertation

Abstract


Lossless image compression means to reduce the amount of data obtained in the premise of no image loss , low - bit stream of the image data expressed . It is mainly used in some of the need to do further processing of the image , repeated compression and decompression , image acquisition expensive areas , such as fingerprint images , remote sensing image , medical image processing . For efficient, real-time image lossless compression requirements , a rapid study the image lossless compression techniques and algorithms have important theoretical significance and practical value . Today lossless compression of two representative algorithm , one is based on prediction and variable length encoding of the adaptive statistical context model LOCO-Ⅰ algorithm , it is the core of the standard of JPEG-LS ; another It is based on integer wavelet transform (5 / 3 and 9/7-M) and SPIHT zerotree coding algorithm . LOCO-Ⅰ algorithm the adaptive statistical context model prediction compared to the general fixed prediction , more effective in reducing the correlation between the pixels , Golomb encoding algorithm error is also very effective . Traditional wavelet transform, convolution operation is required , high complexity , it is difficult to achieve real-time processing hardware without convolution operation based on lifting the format integer wavelet transform not only , but also because of the process and results of each promotion integer , so that it can be applied in lossless compression , combined with the zerotree coding SPIHT algorithm thought DPCM and Huffman entropy coding can effectively transform the wavelet coefficients coding . Achieve two-part simulation : a simulation difference map and its statistical properties , JPEG and JPEG-LS predictor comparisons JPEG-LS predictor better than JPEG ; another integer wavelet transform and SPIHT encoded on the given image , and a typical test image lossless compression and coding simulation , three wavelet transform and the transform coefficients to achieve a 5/3 wavelet 9/7-M wavelet SPIHT coding , from the obtained encoded stream and the observation of the histogram of the wavelet coefficients can be seen : 9/7-M wavelet performance is better than 5 / 3 wavelet . Can be used as based on 9/7-M wavelet algorithm and LOCO-Ⅰ algorithm the fast image lossless compression algorithm is applied to the actual hardware circuit among .

Related Dissertations

  1. Research on Image Compression and Implementation Using TMS320C6713 Based on SPIHT Algorithm,TP391.41
  2. The Realization and Study of a Scalable Data Encoder Based on SPIHT,TN762
  3. Improved ROI Coding Method Based on SPIHT,TN919.81
  4. Ultra-high definition video coding based on synchronous hierarchical motion estimation architecture design,TN919.81
  5. Image Compression Based on Wavelet Transform of Parallel Algorithm,TP391.41
  6. Researches on Hyperspectral Image Lossless Compression Algorithm Based on Vector Quantization,TP751.1
  7. Wavelet - based image coding algorithm research,TN919.81
  8. UAV Reconnaissance Image Compression Based on Integer Wavelet,TP391.41
  9. The Research of Listless SPIHT Algorithm for Image Coding Based on Wavelet Transform,TN919.81
  10. Research on Wavelet-transform-domain Based Distributed Video Coding Scheme,TN919.81
  11. Design and Implementation of Supervisory Information System in Plant Level,TM769
  12. Studies on Compression and Edge Detection of Medical Image,TP391.41
  13. The Research of X-ray Image Compression Algorithm on Wavelet Transform,TP391.41
  14. Research on Image Self-Adaptating Transmittion in Remote Interactive System,TN919.81
  15. Study on Compression Method of Pipe Leak Detection Data,TE973.6
  16. Improved SPIHT algorithm based lossless compression of medical images,TP391.41
  17. Based on visual characteristics of low bit-rate image coding,TN919.81
  18. No table SPIHT-based zero-tree image coding algorithm,TN919.81
  19. Multiple Description Coding of 3D Meshes,TP391.41
  20. The Research of Video Coding Based on SPIHT over Wireless Multimedia Sensor Networks,TN919.81
  21. Image Coding Technology Based on Adaptive Directional Lifting Wavelet,TP391.41

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
© 2012 www.DissertationTopic.Net  Mobile