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fractal image compression中文是什么意思

  • 不規(guī)則圖象壓縮

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  • 例句與用法
  • The original image is divided into non - overlap square domain block collection and range collection , which is fourfold the domain block . to every domain block , the best self - similarity transformation is gained by matching the found best similar range block , the parameters of the gained best domain block ' s transformations are the image compression code . the fourth chapter discusses and implements fractal image compression method based on region partit ion
    在第三章中討論并實(shí)現(xiàn)了基于子塊劃分的分形圖象壓縮方法,這種方法將原始圖象劃分為不重疊的正方形值域塊集和四倍大小的正方形定義塊集,對(duì)于每一個(gè)值域塊,在定義塊集中通過最佳匹配找出最相似的定義塊,通過匹配得到值域塊的最佳自相似變換,對(duì)所在值域塊的最佳自相似變換參數(shù)編碼實(shí)現(xiàn)圖象壓縮。
  • The block - based fractal image compression method has a low compression ratio , so simple region - based fractal image compression is introduced , then the competitive region - based fractal image compression method is presented . the experimental results show that the compression ratio is effectively improved at a similar psnr value . wavelet - fractal image compression has been received widely attention
    由于基于塊的分形圖像壓縮方法的壓縮比不高,對(duì)此進(jìn)行改進(jìn),先介紹簡(jiǎn)單的基于區(qū)域的分形圖像壓縮,然后提出基于區(qū)域的競(jìng)爭(zhēng)分形圖像壓縮算法,并進(jìn)行實(shí)驗(yàn),實(shí)驗(yàn)結(jié)果表明,該方法在保持一定的信噪比的情況下,有效的提高了壓縮比。
  • Lastly , an evolutionary algorithm is proposed for obtainment of matching domain blocks of fractal partition in image compression . it makes use of the partition iterated function system and fractal image compression . chromosome representation , initialization of population , design of special genetic operators are introduced explicitly
    最后作者提出了一種改進(jìn)的用于求解具有全局最優(yōu)的自相似分塊匹配的演化算法,詳細(xì)地講述了染色體編碼方法、適應(yīng)度函數(shù)的設(shè)計(jì)、遺傳算子的設(shè)計(jì)和采樣機(jī)理。
  • Then it should be worked out image simulation based on coons fractal patches and the characteristic blocks - based fractal image compression . in the later , the regional shape of partitioned image is encoded and then matched with other similar part of the image , which is the same as the original region in size and shape
    利用特征塊對(duì)圖象進(jìn)行分割,對(duì)分割后的圖象,一方面用coons型分形曲面片拼接進(jìn)行仿真,另一方面,對(duì)區(qū)域進(jìn)行形狀編碼和分形相似性匹配,以對(duì)圖象進(jìn)行壓縮編碼。
  • Through experiment , comparison with other fractal coding method shows this integrated ifs behaves self - similarity ' s multiplicity more efficiently , gets over the traditional fractal image compression method ' s affine transformation ' s defect , improves the reconstructed quality and compression ratio . this paper has four chapters . image compression technology , research re - sults in the latest 10 years have been introduced in the first chapter
    通過實(shí)驗(yàn)表明,該混合型的迭代函數(shù)系統(tǒng)更能體現(xiàn)自相似性的多樣化,克服了傳統(tǒng)的分形圖象壓縮算法仿射變換單調(diào)的缺點(diǎn),使重建質(zhì)量和壓縮比對(duì)比其他算法都能有較好的改進(jìn)。
  • The second chapter sets forth the theorem basis of fractal image compression . by researching the property of iterate function system in metric space , two basic theorems are brought outthe fixed - point theorem of contract mapping and collage theorem . in the third chapter , fractal image compression method based on block partition is discussed and implemented
    接著在第二章中闡述了分形圖象壓縮的理論基礎(chǔ),通過對(duì)完備空間中迭代函數(shù)系統(tǒng)性質(zhì)的研究,提出了分形圖象壓縮的兩個(gè)基本定理:壓縮映射的不動(dòng)點(diǎn)定理和拼貼定理。
  • Fractal image compression coding ( ficc ) is a new image coding method developed in recent years and has been studied extensively . based on the analyze of conventional fractal coding and decoding , a fractal image coding algorithm based on changeable threshold and creative function is proposed in this paper . new algorithm is to be in accordance with the feature of human visual system
    本文通過對(duì)傳統(tǒng)分形圖像壓縮編解碼的分析,提出了門限變化和生成函數(shù)改進(jìn)的編碼算法,此算法在一定程度上與人類視覺系統(tǒng)特性相符,我們?cè)诶碚撋献C明了在相同的條件下,用改進(jìn)的生成函數(shù)恢復(fù)的圖像在質(zhì)量方面比傳統(tǒng)的生成函數(shù)要好,恢復(fù)圖像的信噪比有所提高。
  • To many not strictiy self - similar image , the usual fractal image compression method based on block partition divides the image into non - overlap regular shape block collection . every block ' s iterate function system is found out by local self - similarity . the parameters of all iterate function system form fractal image compression code
    這種方法將圖象劃分為規(guī)則形狀的不重疊的子塊集,根據(jù)子塊的局部自相似性,找出集中每一個(gè)子塊的迭代函數(shù)系統(tǒng),由全體子塊的迭代函數(shù)系統(tǒng)參數(shù)形成分形圖象壓縮編碼。
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