Abstract a new vector quantization watermarking algorithm was proposed 摘要提出了一種基于蟻群算法優(yōu)化的矢量量化水印算法。
A classified vector quantization scheme of still image based on wavelet transform 一種基于小波分解的圖象分層分類矢量量化方法
One of the emerging technologies for lossy image compression is vector quantization ( vq ) 矢量量化技術(shù)由于其極高的壓縮效率,正日漸受到研究人員的重視。
vector quantization ( vq ) is a popular lossy compression scheme widely used in multimedia data compressions 矢量量化是一種常用有損壓縮技術(shù),被廣泛地應(yīng)用于多媒體數(shù)據(jù)壓縮。
During the training phase, codebooks based on extracted features are generated via vector quantization approach 在訓(xùn)練階段,每一個說話者通過矢量量化產(chǎn)生一個碼書(語音數(shù)據(jù)庫)。
The swarm intelligence algorithm and the theory of vector quantization ( vq ) data compression are summarized systemically in the paper 本文較系統(tǒng)地綜述了群體智能算法和矢量量化數(shù)據(jù)壓縮理論。
Finite-state vector quantization; lpc cepstral coefficients; dynamic spectral feature; dynamic time warpping; state transition function 有限狀態(tài)矢量量化lpc倒譜系數(shù)動態(tài)譜特性動態(tài)規(guī)整狀態(tài)轉(zhuǎn)移函數(shù)
In this dissertation, a image compression coding method based on wavelet transformation and vector quantization is discussed in detail 本文詳細研究了基于小波變換和矢量量化的靜態(tài)圖像壓縮編碼方法。
And then, we apply multiwavelet filter banks in image compression, using two method ( new vector quantization algorithm and improvement ezw ) 然后,對應(yīng)于單小波零樹算法,提出一種新方法,將多小波應(yīng)用于零樹壓縮。
At first, the error model of the vector quantization, watermarking embedding and the noisy channel were established and further the simplified model was given 為了用蟻群算法進行優(yōu)化,首先建立了矢量量化、水印嵌入及通過噪聲通道的誤差模型,并給出了簡化模型。