Fractal image compression ( fic ) is a new image coding method developed in recent ten years , and has been studied extensively 分形圖像壓縮是近十年發(fā)展起來的一種新的圖象編碼方法,目前對(duì)其研究較為廣泛。
The paper mainly studies the algorithm of fractal image compression , then introduces and implements a new algorithm of image compression : fractal image coding based on wavelet 本文主要是對(duì)分形編碼算法進(jìn)行研究,并介紹和實(shí)現(xiàn)了一種新的圖像壓縮算法:基于小波的分形圖像壓縮算法。
In chapter one , we mainly introduce the developmental history of fractal and the current research status of fractal image compression . in the following chapters , the theory and method of fractal image compression are studied 本文第一章主要介紹分形發(fā)展簡(jiǎn)史及分形圖象壓縮研究狀況,后面幾章對(duì)分形圖像壓縮的理論和方法進(jìn)行了研究。
As a result , the contractive mappings can be achieved in order to make the fractal image compression automatically realized . it is tested that the approach we proposed is simple but available all through the experiment 與jacquin的方法相比,由于引入了區(qū)域形狀編碼,增加了編碼的復(fù)雜度,但在解碼圖象質(zhì)量相近的情況下,提高了壓縮比。
Fractal image compression , as a fire - new scheme of image compression , based on the self - similarity and proportion of image , it implements the image data compression by eliminating the image geometry redundancy 基于分形的圖像壓縮編碼方法是一種全新的編碼方法,它利用的是圖像的自相似性及比例特性,通過消除圖像的幾何冗余度來實(shí)現(xiàn)圖像數(shù)據(jù)的壓縮。
Then , in the second chapter , we generalize the mathematical principle of fractal image compression . in the third chapter , we introduce jacquin ' s fractal image compres - sion method and fisher ' s self - adapted quadtree image compression method 第二章給出了分形壓縮編碼的數(shù)學(xué)原理和理論基礎(chǔ)。第三章介紹了jacquin的分形壓縮編碼方法和fisher的自適應(yīng)四叉樹編碼方法。
The purpose of fractal image compression is to gain a good ifs whose attractor is similar to original image . so this search problem can be viewed as a combination and optimization process with complicated constraints and a large searching space 分形圖像壓縮的最終目的是要獲得一個(gè)較好的ifs ,使它的吸引子與原始圖像盡可能的相似,可以把這個(gè)搜索問題看成是一個(gè)優(yōu)化過程。
In comparison with the abilities of two fractal image compressions , the fractal image compression method based on region partition can gain higher compression ratio as the same of sign to noise rate , which compression ability is improved obviously 通過對(duì)兩種分形壓縮方法性能的比較,基于區(qū)域劃分的分形圖象壓縮方法可以在相同的性噪比下達(dá)到更高的壓縮比,壓縮性能顯著提高。
Then a deep research on fractal image processing is done from the following two parts . ( 1 ) based on the basic theory of data compression and the correlated standards , the fractal image compression is studied deeply from the defect of fractal coding ( 1 )在對(duì)數(shù)據(jù)壓縮的基本理論及相關(guān)標(biāo)準(zhǔn)研究的基礎(chǔ)上,從分形編碼存在的缺點(diǎn)出發(fā),本文提出了三種新的分形圖象壓縮方法。
During the procedure of the still digital image compression , first , we make a jpeg algorithm to the input general still digital image ; then , we make a fractal image compression based on wavelet coefficient cubtrees to the jpeg image 在靜態(tài)數(shù)字圖像的壓縮和編碼過程中,首先將輸入的靜態(tài)數(shù)字圖像做jpeg壓縮;接著,采用基于小波系數(shù)子樹的分形圖像壓縮編碼方法對(duì)jpeg圖像進(jìn)行二次壓縮。