基于分類(lèi)和3D-SPIHT算法相結(jié)合的多光譜圖像壓縮
Multispectral Image Compression Based on Classification and 3D-SPIHT Algorithm
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摘要: 文中提出了一種基于分類(lèi)預(yù)測(cè)的三維SPIHT算法，并對(duì)多光譜1~7波段圖像進(jìn)行了壓縮實(shí)驗(yàn)。首先對(duì)圖像數(shù)據(jù)作三維變換，空域采用浮點(diǎn)97小波去除相關(guān)性，譜域分類(lèi)預(yù)測(cè)去除冗余；再根據(jù)分類(lèi)預(yù)測(cè)算法獲得系數(shù)的殘差圖像，并對(duì)殘差圖像進(jìn)行三維SPIHT編碼; 而對(duì)分類(lèi)預(yù)測(cè)時(shí)得到的碼書(shū)和索引表進(jìn)行哈夫曼無(wú)損壓縮; 將這3個(gè)編碼文件傳送到解碼端用于圖像重構(gòu)。實(shí)驗(yàn)證明該算法具有很好的重構(gòu)效果。
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關(guān)鍵詞:
- 遙感圖像;變換編碼;SPIHT;分類(lèi)預(yù)測(cè)
Abstract: The paper presents an algorithm based on classification and 3D-SPIHT for 17 bands multispectral images compression. First, the 3D transform for the image data is used with CDF97 wavelet to move spacial correlation and classification prediction to move spectral correlation. Second, according to remain image coefficients from classification prediction, the method realizes compression coding by 3D-SPIHT and adopts Huffman coding files to do the lossless coding of codebook and index table. Meanwhile it transmits all coding files to the decoding so as to reconstruct image. The results of numerous experiments indicate the quality of reconstructive image. -
Dragotti P L, Poggi, G, Ragozini A R P. Compression of multispectral images by three-dimensional SPIHT algorithm[J].IEEE Trans. on Geoscience and Remote Sensing.2000, 38(1):416-428[2]Said A, Pearlman W. A. A new fast and efficient image codec based on set partitioning in hierarchical trees[J].IEEE Trans. on Circuits Syst. Video Technol.1996, 6(3):243-250[3]Shapiro J M. Embedded image coding using zerotrees of wavelet coefficients[J].IEEE Trans. on Signal Processing.1993, 41(12):3445-3462[4]張榮，俞能海等. 基于整數(shù)小波變換的多光譜圖像無(wú)損壓縮. 遙感學(xué)報(bào), 2001, 5(3): 29-33. -
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