lifting wavelet 中文意思是什麼
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Secondly, the 3 - d video coding algorithm based wavelet transform using lifting scheme is proposed, which not only increases computer speed but also gives superb video playback quality without any boundary. finally, the wavelet transform using lifting scheme is used in the object - based video coding, which support scalability and user interactions
三是在提升小波和任意形狀的圖像編碼的基礎上提出了任意形狀的三維視頻編碼方法，它不僅支持可伸縮性編碼方法，並且支持可交互性，更適于互動式視頻服務和遠程監控。 -
The fifth chapter use huffman coding method of the row difference data and lifting wavelet transform and spiht ( set partitioning in hierarchical tree ) coding method to realize the diagnostically compression of mfl data by judging the significance of data using changing threshold and dynamic area threshold of mfl data
在第五章通過數據變化閾值和數據動態范圍閾值判斷數據重要性，分別採用行差分數據的霍夫曼編碼方法以及提升小波變換和層次樹集分割（ spiht ）編碼方法實現了數據的檢測無損壓縮。 -
For real world implementation of wavelet theory, we mainly focus on the selection of suitable wavelet bases and related algorithm applied in the following different aspects : in this paper, the selection of wavelet basis function is presented in detail through the investigation of traditional selection of wavelet basis and the theory of lifting scheme, an adaptive wavelet transform is put forward, and the adaptation is come from adaptive choosing between a class of linear predictors within the lifting framework according to the local gradient of the signal. we investigate the central issues such as the structure of adaptive frame and the calculation of corresponding wavelet basis function
對于小波的應用性研究，針對實際應用，主要對其基函數選取及相關的應用演算法進行了詳細探討，主要工作內容包括下面幾個方面：在論文中，首先對基函數的選取進行了詳細的研究，通過對經典的小波函數選取方法的研究，並在對經典小波變換和提升框架的基礎理論上，提出了利用提升框架並根據信號的局部特徵自適應選取小波基，探討了自適應框架的結構以及相應的小波基函數的計算。 -
Compares with the traditional wavelet transformation, the wavelet transformation of lifting scheme have some characteristics : the operating speed more quickly, home position operation, the dsp chip realization
與傳統小波變換相比，提升格式小波變換具有運算速度快，原位運算，適合於dsp晶元實現等優點。 -
Application of lifting wavelet transform in image denoising
基於第二代小波變換的圖像除噪 -
This edge detection method combines the advantages of wavelet lifting method and mathematical morphological method, which fuses the two edge information obtained by different methods, so the noises are restrained effectively and the edges are consecutive and clear
這種邊緣檢測方法結合了小波提升法和數學形態學法的優點，對用這兩種方法得到的邊緣信息進行融合，有效地抑制了噪聲，且邊緣連續、清晰。 -
After analyzing the results of the software implementation and the complexity of different wavelet transform, the integer - integer lifting wavelet transform is adopted
在分析了軟體結果及不同的小波變換復雜度后，我們採用了整一整型提升小波變換。 -
Application of two dimension lifting scheme based on invertible biorthogonal wavelet transform in progressively lossless image compression
基於二維提升方案的可逆雙正交小波變換在漸進性無損圖像壓縮中的應用 -
To solve for the coefficients of the fast lifting wavelet transform, the new method for calculating the coefficients of the lifting schemes was presented
為了獲得快速提升小波變換的系數，根據雙正交小波的特點，提出了求解提升系數的方程組解法。 -
In order to better detect the image edge information, firstly, non ? linear median filter technology of characteristic direction was applied to filter out the gauss noise ; secondly, ( 3, 1 ) biorthogonal spline wavelet was used as the primitive wavelet filter, adopting lifting scheme to build the most superior biorthogonal wavelet filter, and applying the superior biorthogonal wavelet to the multiresolution wavelet edge detection ; at the same time, floating threshold was defined and applied to the image edge detection, and the image edge position was located accurately
在激光探測系統中，微弱的回波圖像淹沒在強背景噪聲中，為更好地檢測這類含噪圖像的邊緣信息，首先應用特徵方向非線性中值濾波技術，濾去高斯噪聲；其次，選擇（ 3 ， 1 ）雙正交樣條小波作為原始小波濾波器，採用提升方案構造最優雙正交小波濾波器，應用構造的雙正交小波進行多尺度小波邊緣檢測；同時，通過定義浮動閾值，並應用於圖像邊緣檢測，較準確地定位了邊緣位置。 -
The core algorithm of still image compression standard jpeg2000 are simulated with watcom c, including the algorithm of ebcot, the lifting wavelet transform and mq arithmetic coder
同時，本文還對靜止圖象壓縮標準jpeg2000的核心演算法進行了c語言實現，包括ebcot演算法、小波提升演算法、 mq算術編碼器等。 -
( 2 ) a new texture classification algorithm based - on the lifting wavelet transform in suggested utilizing wavelets " perfect performance in spatial - frequency localization and the lifting wavelets " in - place operations. it computes the entropy values of the sub - frequency images disposed by the two - layers " lifting wavelet transform, and has merits of low feature dimensions, low computational cost and good capability
利用小波分析的時頻局域化特性以及提升小波的本位運算等優點，對紋理圖象進行提升小波分解，再對得到的高頻子圖繼續做第二層小波分解，然後以各頻率子圖的圖象熵作為圖象的紋理特徵進行紋理分類。 -
The application of lifting wavelet transformation in signal de - noising
提升小波變換在信號去噪中的應用 -
Approach of image impulse noise reduction based on lifting wavelet
基於提升小波的圖像脈沖噪聲抑制方法 -
Hardware design and realization based on fast integer lifting wavelet transform
一種基於可逆小波變換的盲數字水印演算法 -
Speech enhancement algorithm based on adaptive lifting wavelet transforms
基於自適應提升小波變換的語音增強演算法的研究 -
An edge detection algorithm based on lifting wavelet and morphology was proposed
摘要提出了一種基於小波提升和形態學的圖像邊緣檢測方法。 -
Additionally, a public algorithm based on 3 - band lifting wavelet transform is given
此外，還提出一種基於3通道提升小波變換的公開水印演算法。 -
After the image lifting wavelet transformation, its coefficients have some characteristics, for example : the frequency compression characteristic, namely the primitive image energy majority of gathers to the low frequency sub - belt ; spatial compression characteristic, namely high frequency sub - belt energy majority of centralisms in primitive corresponding and so on image edge, outline position ; the coefficient distribution similarity, namely in the
經提升小波變換后，其系數具有如下特性:頻率壓縮特性，即原始圖像的能量大部分聚集到低頻子帶;空間壓縮特性，即高頻子帶的能量大部分集中在原始圖像的邊緣、輪廓等對應的位置;系數分佈相似性，即同一方向上各級子帶系數幅值分佈大體一致。 -
( 4 ) approaches for texture retrieval based on high - order cumulants, multi - channel gabor filters and lifting wavelet transform are suggested separately which extract the texture features to implement the texture queries
演算法對均勻紋理的分類快速有效。四、提出基於高階累積量、多通道gabor濾波以及提升小波變換的紋理檢索演算法。
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