fractal image compression

"fractal image compression"的翻譯和解釋

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The method of fractal image compression transfers a digital into a group of contract iterate function system ( ips ) model . encoding ifs ' s parameters achieves image compression . this method may gain higher compression ratio , as well as decoding rapidly
分形圖象壓縮方法是根據(jù)圖象的自相似性，將一幅數(shù)字圖象轉(zhuǎn)化為一組收縮的迭代函數(shù)系統(tǒng)模型，通過對(duì)迭代函數(shù)系統(tǒng)參數(shù)編碼達(dá)到圖象壓縮的目的。
The author begins with this facet of the algorithm which can reduce the number of the matching of bloks in the process of the search , and therefore designs an optimized fractal image compression algorithm which aims to decrease the complexity of the fractal encoding and reduce encoding time
摘要從減少搜索匹配塊的數(shù)目入手，提出了一種旨在降低分形編碼的復(fù)雜度，縮短編碼時(shí)間的分武力像壓縮的改進(jìn)算法。
It is well known that too long encoding time is the main drawback of this technique , in fact , prevent fractal image compression from becoming a practical method for image compression , hence fast encoding has become a hot issue in fractal image compression
眾所周知,編碼時(shí)間長(zhǎng)是這項(xiàng)技術(shù)的主要缺點(diǎn),它已成為該方法走向高效能實(shí)用化的最主要障礙,因此分形編碼加速方法已成為了近些年來分形壓縮的一個(gè)研究熱點(diǎn)。
With the mass application of the image in the contemporary world , the research of the image compression technology becomes more and more impera - tive . the fractal image compression technology was proposed by american math - ematican barnsley and sloan [ 10 ] in 1987
分形圖象壓縮編碼技術(shù)是由美國(guó)數(shù)學(xué)家barnsley和sloan于1987年提出的，此后jacquin首先實(shí)現(xiàn)了完全自動(dòng)的分形壓縮編碼，給分形圖象壓縮領(lǐng)域帶來突破性的進(jìn)展。
In chapter five , pyramidal wavelet - fractal image compression is studied , some theorems about it are obtained , then the coding methods are given , including the method of linear compression transform and the fast coding method of degree two polynomial compression transform
本文對(duì)金字塔小波?分形進(jìn)行研究，得到一系列金字塔小波變換的性質(zhì)，提出金字塔小波?分形圖像壓縮方法，包括線性壓縮變換的編碼方法，及壓縮變換為二次多項(xiàng)式的快速編碼方法。
Fractal image compression is based on the fixed - point theorem and the collage theorem proposed by m . barnsley in 1988 . in chapter three the extend collage theorem is presented which gives the control expression of the hausdorff distance between two iterated images
分形圖像壓縮的理論基礎(chǔ)是不動(dòng)點(diǎn)定理和拼貼定理，本文對(duì)拼貼定理進(jìn)行了推廣，得到擴(kuò)展拼貼定理，給出任意兩幅迭代圖像的hausdorff距離的控制表達(dá)式，原拼貼定理是擴(kuò)展拼貼定理的一個(gè)特例。
Fractal image compression coding is focused attention upon by researchers for it ' s good quality of high compression ration , resolution irrelevancy and fast decoding . but it ca n ' t be put into practice for the matching search of domain and range is too difficult and the coding time is too long
分形圖像壓縮編碼以其高壓縮比、分辨率無關(guān)性、快速解碼等優(yōu)越特性而引起世人矚目，但卻常因?yàn)辇嫶蟮亩x域計(jì)算和煩瑣的定義域值域匹配搜索而使編碼時(shí)間過長(zhǎng)，從而影響了其實(shí)用性。
However , there ' s a especially unsatisfying problem in this method : too long encoding time , mainly because of the considerable number of domain blocks to compare with for each range block in encoding phase , which , in fact , prevent fractal image compression from becoming a practical method for image compression , hence fast encoding has become a hot issue in fractal image compression
但是，這種方法存在一個(gè)最大的問題：編碼時(shí)間過長(zhǎng)，主要是因?yàn)榫幋a時(shí)定義域塊的搜索量非?？捎^。這實(shí)際上已成為了該方法走向高效能實(shí)用化的最主要障礙，因此分形編碼加速方法已成為了近些年來分形壓縮的一個(gè)研究熱點(diǎn)。
Secondly , fractal image processing is combined with rough set for the first time and two new methods are proposed in this paper . one is the adaptive fractal image compression based on rough set , the other is the fractal image compression on rough set & region growing . it has been indicated by the theoretical analysis and test proof that the fractal coding methods combined with rs are satisfactory , and superior to traditional methods
其次，本文首次將粗集理論引入分形圖象處理領(lǐng)域，利用粗集的分類能力和邏輯推理能力，對(duì)分形壓縮編碼進(jìn)行了仔細(xì)的研究，提出了一種基于粗集的自適應(yīng)分形編碼方法，而后又提出了一種基于粗集和區(qū)域增長(zhǎng)的分形編碼方法。
Researchers have developed many methods for image compression , and fractal image compression , as a new scheme of image compression , has received a great deal of attention and study from researchers all over the world in the field of image compression because of its desirable properties such as fast decoding , resolution independence of decoded image and high compression ratio
目前人們已經(jīng)提出了很多壓縮方法，而分形圖像壓縮作為一種新的壓縮方法，因其具有壓縮比高、解碼速度快、解碼圖像與分辨率無關(guān)等優(yōu)點(diǎn)，十余年來引起了眾多學(xué)者的關(guān)注和研究。