ezw 中文意思是什麼

ezw 解釋
嵌入零樹小波編碼
  1. In this thesis, we subsequently introduce the basic concepts of wavelet transform, especially the pyramidal algorithm and its fast realization - lifting scheme ; this scheme can decrease the time and space complexity of wavelet transform greatly. wavelet transform, the most perfect mathematical tool of signal processing theory, makes great success in the field of data compression. ezw and spiht are the milestones of wavelet image coding on the noiseless channels, and jpeg2000 adopts the ebcot algorithm

    嵌入式零樹小波編碼（ embeddedzerotreewavelets ）和多級樹集合分裂演算法（ setpartitioninginhierarchicaltrees ）都是迄今為止最為優秀的理想通道情形下的小波編碼方案：而jpeg2000靜態圖像壓縮國際標準採用的是嵌入式碼流優化截斷塊式編碼演算法（ embeddedblockcodingwithoptimizedtruncationoftheembeddedbit - streams ） 。
  2. In contrary to the brushlet, the ezw ( embedded zerotree wavelet coding ) algorithm is also discussed. the performance of brushlet in preserving the high frequency information at high compress ratio can be revealed when compared to the ezw algorithm in the result

    作為對比，本文同時研究了ezw小波系數零樹編碼演算法，從對比中可以看出brushlet在高壓縮比下保留圖象高頻信息的性能。
  3. Secondly, on the basis of the research on the characteristics of the wavelet coefficients, the combination of the ezw ( embedded zerotree wavelet ) and advanced rle ( run length encode ) is presented to realize the efficient codes of the wavelet coefficients. finally, the improved periodic extension algorithm is used to solve the boundary problem appeared in wavelet transform. the algorithm is realized by software and the good processing results are obtained

    論文選取cdf （ 2 ， 2 ）小波基，取得了較好圖像壓縮效果；二、通過對小波系數的特點的研究，提出了將嵌入式零樹編碼和改進的遊程編碼相結合的方法，實現了小波系數的有效編碼；三、採用改進的周期延拓法解決圖像進行小波分解時出現的邊界問題，並通過軟體實現，取得較好的處理效果。
  4. Motion compensated prediction error image has significant amplitudes mainly along the boundaries of moving objects, correspondingly its wavelet coefficients contain large energy in high frequency bands. this greatly reduces the coding efficiency of ezw. it is first provided that the correspondence between the significant amplitudes area of the mcp error image and the wavelet coefficient significant map, then encode the significant map efficiently using quadtree approach, followed by bit - plane coding the significant coefficients to produce an embedded data stream. experiment result shows that compared to ezw and zte, the proposed algorithm is more efficient and has better performance

    演算法對于運動補償余量誤差幀首先進行小波變換，並選取適當的閾值，用重要圖表示大於該閾值的重要系數。根據殘差幀小波系數的統計特性，用四叉樹方法編碼重要圖，並對重要系數作位面編碼，生成嵌入式碼流。實驗表明，與ezw ， zte等演算法相比較，該演算法編碼效率高，復現圖像質量好。
  5. This paper mainly realize integer wavelet transform using lifting scheme, then study and compare several embedded coding arithmetic. base on analyzing the image coefficient, we propose an improved ezw ( embedded zerotree wavelets ) arithmetic. jt aimed at increasing compression ratio in lossless image compression and subjective quality in loss image compression

    本文主要利用提升演算法實現圖像的整數小波變換，然後對幾種經典的嵌入式圖像編碼演算法進行了研究和比較，在對經過小波變換的圖像系數進行統計分析后，提出一種對ezw （ embeddedzerotreewavelets ）演算法進行改進的嵌入式圖像壓縮編碼演算法。
  6. Third, the quantization of wavelet coefficients based on the embedded zerotree wavelet ( ezw ) is discussed and some improvement is made to it. finally, this paper brings forward a scalable image coding method based on iwt and the improved zerotree quantization, which can realize lossless to lossy image compression, more simple computing, and higher - quality reconstructed image compared with image coding method based on traditional wavelet transform. the experimental results are satisfying

    在此基礎上，提出了一種基於整數小波變換和改進零樹量化方法的可分級圖像編碼方法，該方法可以實現圖像從完全無損到有損壓縮，與基於傳統小波變換及零樹量化的方法相比，運算簡潔，速度快，重構圖像質量高，取得了令人滿意的效果。
  7. Spiht algorithm, evolving from ezw, is so far one of the most influential wavelet compression algorithms, which encodes wavelet coefficients according to their energy or significance through a unique pass

    由ezw演算法演變而來的spiht演算法是目前為止影響最大的小波壓縮演算法之一，它通過獨特的掃描方式，將小波系數按照能量大小或者重要性程度編碼輸出。
  8. Inspired by glicbawls, calic, ececow, and ezw coding schemes, a new context model of wavelet coefficients for image compression is proposed

    受glicbawls 、 calic 、 ececow和ezw編碼方法的啟發，本文提出了一種新的用於圖像壓縮的小波系數的上下文模型（ pcw ） 。
  9. Zerotree makes use of the relativity of child band, which is a meaningful breakthrough based on wavelet image compress coding. ezw and spiht algorithms based on zerotree structure, which enhance the image compress ratio largely, are discussed and analyzed in detail

    在小波系數的壓縮方法中，小波系數的零樹方法充分利用了相應子帶間的相關性，是基於小波圖像壓縮編碼的一個有意義的突破。
  10. Image compression plays an important role in transmission and storage of multimedia. wavelet has been widely adopted in image compression due to its multiresolution, time / frequency localization, lower time complexity, etc. with the advance of image compression techniques based on wavelet, a variety wavelet coefficient models are presented, such as ezw, spiht and ebcot used in jpeg2000

    圖像壓縮在多媒體存儲和傳輸中扮演十分重要的角色，小波變換因具有時域頻域局部性、多分辨等性質在圖像壓縮中正在逐步取代dct變換，並已得到廣泛的應用。
  11. Through anatomizing ezw coding algorithm and taking the effects of human being ’ s vision characteristics on quality of reconstituting image. a improved zeretrees algorithm are put forward. at last a new image compression encoding algorithm based on wavelet transform and vector quantization is put forward. the experiment show, in very low bit rate, using the proposed algorithm, the reconstructed image is superior to that of ezw in both of perception and psnr

    最後，在小波樹的基礎上，通過對矢量量化的研究，本文提出了一種基於四叉樹結構新的小波樹矢量量化壓縮編碼演算法，實驗證明，在較高壓縮比的情況下，使用此方法得到的重構圖象質量（視覺效果和峰值信噪比）比通常的小波壓縮演算法有了較大的提高。
  12. The new image encoding algorithm based on analyzing the characteristics of the wavelet transform and the disadvantages of the ezw is presented

    摘要在分析小波變換后系數特點和零樹編碼演算法的基礎上，提出了一種新的演算法。
  13. Inspired by typical coding schemes such as ezw, spiht, ebcot, 3d - iezw, 3d - spiht and 3d - escot, a new context model of wavelet coefficients is proposed, which make use of partial order, self - similarity between subbands of wavelet coefficients and the correlation of neighboring wavelet coefficients

    受ezw 、 spiht 、 ebcot模型及3d - ezw 、 3d - spiht 、 3d - escot模型的啟發，本文綜合利用小波系數不同子帶間的自相似性、偏序性和同子帶內相鄰系數的相關性，提出了一種新的三維小波嵌入編碼上下文模型3d - pem 。
  14. Experiment shows that this arithmetic is superior to ezw arithmetic in compression ratio and subjective quality

    經過模擬表明，該演算法在壓縮率和恢復圖像的主觀質量上優于ezw演算法。
  15. Finally, in order to make the most of the characteristic of wavelet transform, we improve ezw and spiht algorithm in different aspect

    對基於零樹結構的ezw和spiht演算法，本文進行了詳細的分析和討論。
  16. And then, we apply multiwavelet filter banks in image compression, using two method ( new vector quantization algorithm and improvement ezw )

    然後，對應于單小波零樹演算法，提出一種新方法，將多小波應用於零樹壓縮。
  17. In the end, the bin - zerotree - structure, together with feedback of node, can reduce the redundancy of brother and position, so it improves the compression ratio of ezw

    最後，為了更為充分的利用小波變換的特點，本文從多個角度對ezw 、 spiht演算法進行了改進。
  18. In the third chapter, ezw coding and roi coding are introduced. how to implement roi coding in the algorithm framework of embedded zero wavelet coding is discussed in this part

    第三章，介紹了小波零樹編碼和感興趣區域編碼，並討論了如何在小波零樹編碼的演算法框架內實現感興趣區域編碼。
  19. Ezw ( embedded zerotree wavelets ) image coder is implemented. third, on the basis of analyzing of bmmv technique, a new progressive image coding algorithm is proposed

    然後，在分析了基於塊的多尺度均值（ block - basedmultiscalemean ， bmmv ）技術的基礎上，提出了基於小波系數均值塊的漸進圖像編碼演算法。
  20. Moreover, experimental results have proved that the method is robust enough to some image degradation process such as cropping, jpeg compression and sharpening etc. embedded zerotree wavelet coding ( ezw ) algorithm, it is found that this algorithm does not make full use of the properties of human visual system ( hvs ) to eliminate visual redundancy

    實驗證明，該方法對剪裁、 jpeg壓縮和銳化等圖象退化處理均具有一定的抵抗力，是一種行之有效的水印嵌入方法。本文在對零樹編碼方法研究的基礎上，針對零樹編碼方法沒有充分利用hvs特性來有效消除視覺冗餘的缺點，提出了一種基於小波系數的零樹編碼方案。
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