Computer Science ›› 2019, Vol. 46 ›› Issue (6A): 222-225.

• Pattern Recognition & Image Processing • Previous Articles     Next Articles

Image Compression Method Combining Canny Edge Detection and SPIHT

WANG Ya-ge, KANG Xiao-dong, GUO Jun, HONG Rui, LI Bo, ZHANG Xiu-fang   

  1. School of Medical Imaging,Tianjin Medical University,Tianjin 300203,China
  • Online:2019-06-14 Published:2019-07-02

Abstract: To solve the problem that the reconstructed images obtained by SPIHT algorithm will lose texture details this paper proposed an image compression algorithm combining Canny edge detection and SPIHT.First,Canny edge detection is performed for the image,the extracted edge map,and edge recomposition is obtained;Secondly,SPIHT algorithm is used to encode the image,the encoded code stream is enconded and decoded by using Huffma,anda reconstructed image is obtained after SPIHT algorithm decoding and wavelet inverse transformation.inally,the two reconstructed images are added to recover the original image.The results show that the PSNR value and information entropy of reconstructed images are improved at low bites per pixel,compared with SPIHT combined with Huffman encode algorithm,and the information amount of reconstructed images is increased.

Key words: Image compression, SPIHT, Canny edge detection, Information entropy

CLC Number: 

  • TP391.41
[1] 康晓东.影像信息学[M].北京:人民卫生出版社,2009:108-109.
[2] MALLAT S G.A theory for multi-resolution signal decomposition:The wavelet representation [J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1989,11(7):674-693.
[3] SHAPIRO J M.Embedded image coding using zerotree of wavelet coefficient [J].IEEE Transactions on Signal Procession,1993,41(12):3445-3462.
[4] SAID A,PEARLMAN W A.A New,Fast,and Efficient Image Code Based on Set Partitioning in Hierarchical Trees[J].IEEE Transactions on Circuits and Systems for Video Technology,1996,6(3):243-250.
[5] CHEN H X,LIU Z G.Embedded and scale image coding based on virtual SPIHT[C]∥Nation Conference on Advanced Communication Technology.2011:764-767.
[6] ZHANG X J,HUANG W Y,LIU X.Improved listless zerotree coding image coding hardware algorithm based on lifting wavelet [J].Journal of Southwest Jiaotong University,2013,40(4):492-500.
[7] 黄庆.无链表SPIHT图像压缩编码改进算法研究[D].南昌:南昌大学,2013.
[8] 吴运泽.基于小波变换的多级树集合分裂图像压缩算法研究[D].沈阳:沈阳工业大学,2015.
[9] 汤敏,陈秀梅,陈峰.基于Contourlet变换和SPIHT算法的彩色医学图像压缩[J].计算机科学,2014,41(1):303-306.
[10] 王学春,刘申晓,常朝稳.基于混合域的改进SPIHT图像编码算法[J].计算机科学,2015,42(4):302-305.
[11] 王文豪,姜明新,赵文东.基于Canny算子改进的边缘检测算法[J].中国科技论文,2017,12(8):910-915.
[12] 王敏杰.图像边缘检测技术综述[C]∥2011年中国智能自动化学术会议论文集(第一分册).中国自动化学会智能自动化专业委员会,2011:6.
[13] CANNY J.A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence,1986,8(6):679-698.
[14] YANG S H,CHENG P F.Robust transmission of SPIHT-coded images over packet networks [J].IEEE Transactions on Circuits and Systems for Video Technology,2007,17(5):558-562.
[15] 张倩妮.基于SPIHT方法的医学图像压缩算法研究[D].武汉:武汉轻工大学,2016.
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