指紋圖象小波壓縮中子圖信息的研究
STUDIES ON SUB-IMAGE INFORMATION IN FINGER PRINT IMAGE COMPRESSION USING WAVELET DECOMPOSITION
-
摘要: 圖象小波分解后,各子圖信息對(duì)圖象恢復(fù)的質(zhì)量有很大的影響。本文結(jié)合指紋圖象的特點(diǎn),明確了各個(gè)子圖在圖象恢復(fù)中的重要性,并提出了一種適用于紋理圖象的壓縮方法,在保證較好的圖象恢復(fù)質(zhì)量和較大壓縮比的情況下,簡(jiǎn)化了算法,加快了處理速度。
-
關(guān)鍵詞:
- 指紋圖象; 小波變換; 圖象壓縮
Abstract: Sub-image information of the wavelet decomposed finger print image is essential to the quality of reconstructed image. This paper describes the importance of the sub-images according to the features of ringer print images, and provides a new method that can be used to compress texture images. It can simplify and accelerate the algorithm with a better reconstructed image quality as well as a larger compress ratio. -
Mallat S G. Multifrequency channel decompositions of images and wavelet models. IEEE Trans. on ASSP, 1989, ASSP-37(12): 2091-2110.[2]Mallat S G. A theory for multiresolution signal decomposition: The wavelet representation. IEEE Trans. on PAMI, 1989, PAMI-11(7): 674-693.[3]秦前清,楊宗凱.實(shí)用小波分析.西安:西安電子科技大學(xué)出版社,1994,45-53.[4]楊福生.信號(hào)的時(shí)間--預(yù)率分析.維格納分布與小波變換.北京:清華大學(xué)出版社,1994,81-111.[5]Cohen A, Daubechies 1, Feauvesu J C. Biorthogonal bases of compactly supported wavelets. Comm. Pure Appl. Math, 1992, 45(5): 486-560.[6]Bruneau J M, Mathieu P. Image representation using biorthogonal wavelet transforms[J].Optical Engineering.1994, 33(7):2378-2384 -
計(jì)量
- 文章訪(fǎng)問(wèn)數(shù): 1869
- HTML全文瀏覽量: 127
- PDF下載量: 457
- 被引次數(shù): 0