離散小波變換 的英文怎麼說
中文拼音 [lísǎnxiǎobōbiànhuàn]
離散小波變換
英文
alfréd haar- 離 : Ⅰ動詞1 (離開) leave; part from; be away from; separate 2 (背離) go against 3 (缺少) dispens...
- 散 : 散動詞1. (由聚集而分離) break up; disperse 2. (散布) distribute; disseminate; give out 3. (排除) dispel; let out
- 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...
- 換 : 動詞1. (給人東西同時從他那裡取得別的東西) exchange; barter; trade 2. (變換; 更換) change 3. (兌換) exchange; cash
- 離散 : dispersed; scattered about; separated from one another; spread; debunching; straggling; fringing;...
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A digital watermarking technique based on dwt
基於離散小波變換的數字水印技術This needs undistorted boundary data. thus, it is significant to realize 2 - d dwt in image processing efficiently
因此,在圖象處理中有效地實現二維離散小波變換具有重要的實際意義。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。Second, a new wavelet - based denoising method without free parameters is proposed which is based on the sparseness and decorrelation properties of the discrete wavelet transform
首先提出了一種基於相關鄰域模型的sar圖像rcs重構方法。其次,利用離散小波變換的稀疏性和減相關性進行sar圖像濾波。According to the description of fcd 15444 - 1, a j2k coding model is put forward. that is the innovation aspect of this paper. processes in the model such as discrete wavelet transform, quantization, arithmetic entropy coding, tiling etc are analyzed
本文提出了一個實現fcd15444 - 1的j2k編碼模型,並對該編碼模型中的離散小波變換、標量量化、算術熵編碼、分塊以及其他過程進行了分析,並且本文給出了該模型編碼解碼的各個部分的相關實現。( 5 ) the performance of the watermark algorithm can be improved by combining the discrete wavelet transform with the discrete cosine and marking full use of the characteristic of the two transforms
( 5 )把離散小波變換和離散餘弦變換結合起來,利用小波變換的多解析度特性及離散餘弦變換的解相關能力和聚能作用,可提高水印演算法的性能。One is to use fourier transformation to convert the source signal from time domain to frequency domain and to discard high frequency harmonious components upwards of 19 ( gb / t14953 - 93 d5. 3 demanding ), then to have static huffman coding to the quantized char array which is composed of reserved direct current component and basic wave and each high frequency " s amplitudes and angles. the other is to use discrete wavelet transformation to convert the source signal from time domain to frequency domain and to set the high frequency coefficients that its absolute value is smaller than the given threshold to zero, then to have dynamic huffman coding to the quantized char array which is composed of multiple, wavelet ' s level, datum length, low frequency coefficients and reserved high frequency coefficients. mass simulinks and analyses under the two circumstances have done to show that data compression ratio is small and the relative error is also small and within the permission of engineering and the compression problem can be solved in theory of measured datum of power system
第一種情況的壓縮方法為:採用傳統的傅立葉變換把原始信號從時間域變換到頻率域,舍棄20次及其以上的高次諧波成分(保證了gb / t14953 ? 93d5 . 3要求) ,然後對保留的直流分量、基波和各次諧波的幅值和相角數據量化后和量化時分別乘以的倍數系數構成一個數組,以字元形式保存,採用靜態huffman編碼對變換數據進行壓縮;採用離散小波變換把原始信號從時間域變換到頻率域,然後對分解得到的高頻系數進行閾值量化處理,對乘以的倍數系數、小波變換的階數、小波變換后的低頻、各級高頻以及原始數據長度、量化后的低頻系數以及保留的高頻系數大小、位置構成一個數組,以字元形式保存,採用動態huffman編碼對這個文件進行壓縮。One is the colorful watermark medical image electronic signature that based on the discrete wavelets transformation. in this method, using color medical images as the original image, a new watermark hidden algorithm, which uses mixed chaos sequences to preprocessing the electronic signature information, is presented. this algorithm transforms the color space, by changing wavelets ’ low frequency coefficient to embed the watermark in
其中一種是基於離散小波變換的水印彩色醫學圖像電子簽名方案;在這個演算法中,採用彩色醫學圖像為原始圖像,提出利用混合混沌序列對電子簽名信息進行預處理的新的水印隱藏演算法,對真彩圖像進行色彩空間轉換,通過改變小波低頻系數將水印嵌入到小波的低頻帶。Taking account of the corresponding characteristic of the signal singularity and wavelet transform module maximum in multi - scale changing, the discrete wavelet transform is applied to get the featured inflection point of negative pressure wave
利用信號奇異點與小波變換模極大值在多尺度上變化對應的性質,將離散小波變換應用到獲取壓力波信號序列特徵奇異點中,可以對泄漏點進行定位。Picking - up of turbulence coherent structures with orthogonal discrete wavelet transformation
應用正交離散小波變換提取湍流相干結構Currently, transforming coding is one of the most used approach for image coding, where the discrete cosine transform ( dct ), the discrete wavelet transform ( dwt ), and the lapped biorthogonal transform ( lbt ) are widely utilized. how to reduce the complexity of these discrete transforms, is the key technique to image compression. in this thesis, a type of lapped biorthogonal transform which can map integers to integers is considered
變換編碼是圖像壓縮中的主流方法,其採用的主要變換有離散餘弦變換、離散小波變換、雙正交疊式變換,如何減少這些離散變換的計算復雜性,一直是圖像壓縮研究的重要課題。The results show their efficiency and validity. chapter 2 first reviews the basic theory concerned with image wavelet transformation, which includes the wavelet multi - resolution analysis theory, the discrete wavelet transformation and the two dimension discrete wavelet transformation ( mallat algorithm ), and analyzes the space and frequency distributing characteristics of image wavelet coefficients
第二章首先詳細介紹了圖像小波分析的基本理論,其中包括從小波多解析度分析理論開始到離散小波變換再到圖像的二維離散小波變換即malat演算法,並著重分析了圖像小波變換系數的空間和頻率分佈特點。Fast decomposition and reconstruction algorithm on discrete wavelet transform
一種離散小波變換的快速分解和重構演算法In the 1990 ' s, wim sweldens released the algorithm of lifting based dwt [ 2 ]. jpeg2000 standard commends this algorithm [ 1 ]
90年代中期, wimsweldens等人提出了提升格式( liftingscheme )的離散小波變換演算法。Continuous wavelet transform ( cwt ) is the strong tool to analysis the non - steady signals, also it ' s algorithm is more suitable for data compression than that of discrete wavelet transform ( dwt )
而連續小波變換( cwt )是分析非平穩信號的有力工具,且其演算法在數據壓縮等方面的性能優于離散小波變換。This thesis firstly analyzes and investigates the realization method of discrete wavelet transform and its corresponding lifting arithmetic. afterward, software simulations are carried out on the same image. the amount of the operation between the lifting method and the classic convolution method is compared and analyzed
首先,分析了離散小波變換原理,研究了對應提升方案的實現演算法,並針對同一幅圖像進行軟體模擬,實驗結果表明提升方案和傳統卷積實現方案的處理效果相當,然而運算復雜度明顯降低。The embedding process is completed in dwt domain by exploiting the characteristics of hvs
該演算法利用人類視覺系統( hvs )的特徵在離散小波變換( dwt )域中來嵌入水印。The paper analysis the image compression standard of jpeg2000 for the generality, describe the roi coding of jpeg2000, in the same time, the author briefly introduce wavelet theory which is the basis of the discrete wavelet algorithm adopted by jpeg2000, analysis the algorithm of roi based on discrete wavelet transform. finally the author carry on the detailed analysis to ebcot algorithm and to the multiple rois method, analysis every block of encoding, proposes one coding algorithm of roi based on ebcot and proposes one method can realize image multiple roi and multiple quality compression
本文從一般性出發分析了jpeg2000標準,對jpeg2000的roi編碼進行了描述,同時對jpeg2000採用的離散小波變換演算法的理論基礎進行了介紹,分析了基於小波變換的圖像感興趣區域編碼方法。最後特別對jpeg2000標準的ebcot演算法和多興趣區域編碼方法進行了詳細的研究,對編碼的各個環節進行了分析,提出了基於ebcot的感興趣區域編碼演算法及實現多興趣區域多質量的壓縮的編碼方法。In this approach, a model in dwt form is built for the ehs system at its healthy condition
即在電液伺服系統無故障情況下,構造一個離散小波變換形式的模型。And it presents the method that the filter is analyze to lifting process. we use the folding and pipeline architecture to deal with this kind of novel dwt
本論文提出一種根據jpeg2000標準將9 7濾波器分解為提升過程矩陣乘積的形式,使用流水線的思想的新型離散小波變換結構。分享友人