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quantization method中文什么意思

發(fā)音:   用"quantization method"造句
  • 量子化方法
  • method:    n. 1.方法，方式；順序。 2.(思想、言談上的)條理 ...
  • quantization:    分層量子化把連續(xù)量轉(zhuǎn)換為數(shù)字; 量化 在每個(gè)象素處，將圖像的局部特性賦予一個(gè)灰度集合中的元素的過程。數(shù)字圖象處理技術(shù)詞匯表; 量化 在每一個(gè)像素處，將圖像的局部特性賦予一個(gè)灰度集合中的元素的過程; 量化,分層,量子化; 量子化,量化(把連續(xù)量變?yōu)閿?shù)字量),整量化; 量子化；數(shù)字化；分層; 量子化作用；分層; 取離散值
  • adaptive quantization:    自適應(yīng)量化
  • amplitude quantization:    振幅量化
  • binary quantization:    二進(jìn)制量化
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  1. 2 ) the embedded zero - tree wavelet algorithm , which is proposed by shapiro , is analyzed . regarding to its shortcomings , a new quantization method based on zero - tree is presented . in addition , this method needs to match the hvs characteristics
    2 )仔細(xì)分析了shapiro的嵌入式零樹編碼算法，根據(jù)其在量化過程中存在的問題，提出了一種改進(jìn)的零樹量化算法，并在量化過程中充分考慮了人的視覺特性對(duì)于重構(gòu)圖象質(zhì)量的影響。
  2. In order to improve the compression ratio of pipeline leak signals , an error - controlled quantization method is designed in this paper , and on the basis of lossless compression algorithm , a near - lossless compression algorithm is proposed and implemented in pipeline leak detection and location system
    為了進(jìn)一步提高管道泄漏信號(hào)的壓縮比,設(shè)計(jì)了誤差可控的量化方案,在管道泄漏信號(hào)無損壓縮算法的基礎(chǔ)上,提出了一種適合于管道泄漏檢測(cè)定位系統(tǒng)的近無損壓縮算法。
  3. We put forward an adapted wavelet packet transform method - - adapted wavelet packet transform based on r - d rule which selects the best wavelet packet base according to r - d rule , in which best quantization method and huffman coding are used . this method produces the best compression version such that the error upon reconstruction is within an upper bound fixed a given value and obtains satisfactory compression results
    這種方法依據(jù)r - d準(zhǔn)則優(yōu)選出最佳小波包基，在優(yōu)選過程中，用到了最佳量化法和霍夫曼編碼，從而保證了在給定的失真內(nèi)使得壓縮比做的最高，取得了比較滿意的效果，為將來在dsp上實(shí)時(shí)的實(shí)現(xiàn)做好了鋪墊。
  4. It is a pop method to embed watermark in frequency field , in most literature , they embed watermark into the coefficients of fft , dct , or high - frequency of dwt using quantization method , we think that : embedding watermark into the low - frequency of audio signal dwt field can improve the robustness of watermark . the watermark is embedded in the maximum of subsection of approximate component the watermark signal using quantization method , for the same quantization size , the “ noise ” added to the signal is
    在頻率域嵌入水印信息,是目前一種主流的嵌入算法,在很多文獻(xiàn)中,都是通過量化音頻信號(hào)的ftf系數(shù), dct系數(shù),或者是dwt域的高頻系數(shù)。我們認(rèn)為:在小波域內(nèi)的近似分量(低頻系數(shù))中嵌入水印能夠提高數(shù)字水印的魯棒性,通過量化嵌入水印的方法,將水印嵌入到近似分量中每個(gè)分段中最大值上,因?yàn)檫@樣對(duì)于同一個(gè)量化步長(zhǎng),量化對(duì)象的幅值越大,所疊加的“噪聲”就越小,從而提高了數(shù)字水印的不可感知性。
  5. Secondly , based on the shortage of full - image histogram , this thesis presents block histogram algorithm . thirdly , we study the image retrieval algorithm of color pair , and make the retrieval image having color similarity in space . finally , we apply hsv color - space corresponding to human visual characteristics to image retrieval , make use of human feeling on color to quantify the color weight , and analyze the two quantization methods
    首先，對(duì)獲得的圖象進(jìn)行預(yù)處理，使得圖象的顏色特征能夠準(zhǔn)確而方便的提?。黄浯?，針對(duì)全圖直方圖的不足，提出了基于子塊直方圖的算法；再之，在子塊直方圖的基礎(chǔ)上，研究了基于顏色對(duì)的圖象檢索算法，使檢索結(jié)果圖象在空間上具有顏色相似性；最后采用了符合人類視覺特性的hsv顏色空間來進(jìn)行圖象檢索，并利用人對(duì)顏色的感知對(duì)顏色分量進(jìn)行了量化，對(duì)兩種量化方法進(jìn)行了研究和討論。

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