零樹 的英文怎麼說
中文拼音 [língshù]
零樹
英文
null tree-
Three commixed still image coding algorithms are proposed based on them and such ideas as : zerotree coding, wmse ( which is based on mankind visual characteristics ), classified vector quantization with different vector structures and classification methods. the chapter gives the principium analysis, realization schemes and simulation results of the proposed algorithms
在此基礎上,結合零樹編碼思想,以及基於人眼視覺特性和分類矢量量化的思想,根據不同的矢量構成和分類方法提出了三種混合型靜止圖像編碼方法,給出了演算法原理的分析、實現方案和模擬結果,最後對本章方法作出分析總結。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。" 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。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。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。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。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。Improved wavelet zerotree still image coding
改進的靜止圖像小波零樹編碼Hybrid image coding algorithm based on wavelet zerotrees and fractal coding
基於小波變換的分形與零樹混合圖像壓縮演算法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。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。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。Spiht ( set partitioning in hierarchical trees ) method is a more effective wavelet coefficients scanning method originated from zero - tree method
Spiht (層次樹中集合劃分)方法是對零樹編碼方法的改進,具有更高的編碼效率。Matching matrixes were structured with wavelet zerotree structure, and used to load multiple binary watermarks scrambled by chaotic sequences
該演算法利用小波零樹結構構造匹配矩陣,然後用其加載已由混沌空域置亂的多重二值圖像水印。Research on compressing image with noise by wavelet zerotree
帶噪圖像的小波零樹壓縮研究An image compression coding method based on wavelet transform
尺度小波零樹視頻壓縮編碼研究An improved zerotree coding algorithm
一種改進的零樹編碼演算法Basic principle of embedded zerotree wavelet compression algorithm
嵌入式小波零樹壓縮演算法的基本原理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分享友人