零樹小波編碼 的英文怎麼說

中文拼音 [língshùxiǎobōbiānmǎ]
零樹小波編碼 英文
ezw
  • 零 : Ⅰ數詞1 （零數） zero2 （數的空位） zero sign （0）; nought 3 （表示沒有數量;無） nil; nought 4 （...
  • 樹 : Ⅰ名詞1 （木本植物的通稱） tree 2 （姓氏） a surname Ⅱ動詞1 （種植; 栽培） plant; cultivate 2 （樹...
  • 小 : Ⅰ形容詞1 （體積、面積、數量、強度等不大） small; little; petty; minor 2 （年紀小的; 年幼的） youn...
  • 波 : Ⅰ名詞1 （波浪） wave 2 [物理學] （振動傳播的過程） wave 3 （意外變化） an unexpected turn of even...
  • 編 : Ⅰ動詞1 （編織） weave; plait; braid 2 （組織; 排列） make a list; arrange in a list; organize; gr...
  • 碼 : Ⅰ名詞（表示數目的符號或用具） a sign or object indicating number; code Ⅱ量詞1 （指一件事或一類的...
  • 編碼 : encoded; code; coded; encrypt; codogram; coding編碼表 encode table; 編碼程序 builder; 編碼尺 code...
  1. The algorithm codes an image into multi - layer bitstream, and then the multi - layer bitstream is coded ulteriorly with the improved adaptive binary arithmetic

    將圖像進行零樹小波編碼后的小波系數符號流採用改進的自適用算術編碼方法進行二次編碼。
  2. " l ' lle brief introduction of underwater acoustic channel and the cl1art of image transmission syste111, innovation of ti1is paper are given in the first chapter. basic technology and hardware using in this project are introduced in the seco11d chaptel transform methods, especially the wavelet transformation are introdtlced il1 the tl1ird cllapter. ii11age ' s coding methods are introduced in cl1apter four, witll tilem ti1e zero tree method is the el11pl1ases

    第一章給出對水聲通道特性簡介以及圖像信息傳輸的系統框圖、本研究創新之處；第二章介紹圖像處理的基本技術以及本研究的硬體環境；第三章介紹圖像數據的變換方法，著重介紹了小波變換涉及到的知識；第四章介紹圖像編碼，重點介紹了零樹法編解碼；第五章介紹本研究的軟體、硬體設計、對零樹法的具體改變。
  3. After completing the mctf using db2 wavelet, it is well integrated with discrete wavelet transform ( dwt ) and embedded zero tree wavelet. it uses atom structure to organize the coded bit - stream to achieve the brilliant combination of three scalabilities : temporal, spatial and psnr scalabilities. and the software platform is based on vc + + 6. 0

    在基於db2小波的運動補償時域濾波方法實現之後，本文將之和離散小波變換（ dwt ） 、嵌入式零樹編碼進行有機結合，並採用基於基本原子粒的數據流組織結構將分層后的數據流有效地組織起來，實現了具有時間、空間、質量三方面的完整可伸縮性的編解碼系統，系統的軟體平臺基於vc + + 6 . 0實現。
  4. A compression method with wavelet transformation and biblock zero tree coding

    基於小波變換和對塊零樹編碼壓縮方法
  5. It can perform both lossy and lossless compression, and progressive codec, by providing high compression rate and image reconstruction quality

    在研究嵌入式零樹小波編碼演算法及原理的基礎上，描述了演算法的應用過程，闡述了具體的實現思路。
  6. In the second chapter, wavelet theory, which is the theoretic basis of embedded zero wavelet coding is introduced briefly, including wavelet transform " s local characteristics, multi - resolution analysis, discrete signal ' s fast decomposition and construction, wavelet and filter group

    第二章，對小波零樹編碼演算法的理論基礎? ?小波理論作了簡要的介紹，包括小波變換的時頻局部特性、多解析度分析、離散信號的快速分解與重構以及小波與濾波器組的關系。
  7. So this part is dealt with separately. dcpm method is employed to improve the quality of image coding with making full of the relativity of the wavelet coefficients. according to the different importance degree and vision character of the high frequency wavelet coefficients, different thresholds are applied to remove small coefficients ; then mannos module are applied to remove the visual redundancy ; in order to produce more zero - tree, horizontal and vertical wavelet coefficients are transformed accordingly to improve the compression ratio

    對于小波變換后的小波系數的高頻部分，根據其分佈特性和人眼的視覺特性，採用視覺模型對零樹量化過程的閾值進行修正，有效地去除視覺冗餘；對各高頻子圖採用多級樹集合分割的零樹編碼方法，有效地利用系數編碼剩餘符號，進一步提高壓縮比。
  8. Improved wavelet zerotree still image coding

    改進的靜止圖像小波零樹編碼
  9. In this paper, a new image coding method based on wavelet transform - improved adaptive binary arithmetic coding, is proposed

    摘要基於零樹小波演算法提出了一種新的圖像編碼方法改進的自適應算術編碼。
  10. Then it is possible to realize high compression ratio of images. in this paper the principle of which wavelet transform can be used in images compression is discussed on basis of statistics and analysis of image ' s wavelet coefficients after wavelet decomposition. also some kinds of quantify and coding schemes are discussed including scalar quantization, vector quantization, embedded zerotree wavelets encodings run length coding, huffman coding and so on

    論文對圖像經分解后的小波系數進行統計與分析，闡述了小波變換所以能夠用於圖像壓縮的道理，並在此基礎上討論了多種量化和編碼方案的設計與實現，包括標量量化、矢量量化、嵌入小波零樹編碼、行程編碼、哈夫曼編碼等，其中對jpeg2000採用的標量量化和嵌入小波零樹編碼作了重點討論和分析。
  11. The comparison results show that the improved data conversion method is more effective than the embedded zerotree wavelets encoding algorithm

    實驗結果表明該演算法編碼效率高於傳統的嵌入零樹小波演算法。
  12. An image compression coding method based on wavelet transform

    尺度小波零樹視頻壓縮編碼研究
  13. Study of scalable wavelet zerotree video compression coding

    基於整數小波變換和零樹編碼的監控圖像壓縮
  14. A compression algorithm of wavelet image with fast zerotree encoding

    一種快速零樹編碼的小波圖像壓縮演算法
  15. Some novel enhancing morphologic translation algorithms such as mark, areaselect, bylsland, island are implemented in the experiment of this thesis. and what ' s more, making full use of overlapping movement compensation, embedded zerotree wavelet translation encoding and contend - based wavelet translation, this thesis has achieved the human - face - central video compression of the key objects

    實驗中提出了一系列新型增強形態變換演算法，如mark 、 areaselect 、 byisland 、 island等，並且將交疊運動補償、零樹小波編碼、基於內容的小波變換等有機地結合起來，實現了基於人臉關鍵對象的視頻壓縮。
  16. 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 ） 。
  17. High efficiency compression of electrocardiogram data based on time - varying zerotree wavelet packet coding

    應用時變小波包零樹編碼實現心電數據的高效壓縮
  18. Research on vibration data compress using wavelet decomposition and embedded coding of zerotrees of wavelet coefficients

    小波分解及嵌入式小波系數零樹編碼在振動數據壓縮中的應用研究
  19. Such method divides the whole image into a series of image layers including different signal characteristics, such as low - freq & edge layer and texture layer. for the first, we adopt wavelet image algorithm ; for the latter, matching pursuit based on redundant dictionary is utilized

    它將圖像劃分為一組包含不同信號特徵的圖像層，如低頻邊緣層和紋理層等等，對於前者可以選擇採用小波零樹編碼方案，而對後者則採用基於冗餘字典的匹配分解演算法。
  20. It ' s reviewed for the coefficient classification of existing wavelet image encoding technologies. wavelet coefficient is clustered with gray structuring elements dilation and outputted in the form of fractional bit plane according to the different significance. zero tree structure is used to employ cross - subband dependency to promote the coding effort

    在對現有的小波編碼器對系數的分類方法的分析下，通過灰度結構元的形態學膨脹運算對小波系數進行更細的聚類分析，按照重要性的不同以分數比特平面的形式輸出系數，通過零樹結構開發帶間相關性。
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