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dc.contributor.author史玉琴en_US
dc.contributor.authorShr, Yu-Chinen_US
dc.contributor.author林志青en_US
dc.contributor.authorDr. Ja-Chen Linen_US
dc.date.accessioned2014-12-12T02:18:45Z-
dc.date.available2014-12-12T02:18:45Z-
dc.date.issued1997en_US
dc.identifier.urihttp://140.113.39.130/cdrfb3/record/nctu/#NT860394023en_US
dc.identifier.urihttp://hdl.handle.net/11536/62850-
dc.description.abstract在本論文中,我們提出了一個切割式的彩色影像壓縮方法。首先,我們用 由下而上的四分樹切割來分出區塊,並以調變式區域成長法加以結合。之 後,再對切割出來的區塊輪廓與紋理加以編碼。我們以雙變數多項式函數 來表示區塊的紋理,用鍊式編碼來對區塊輪廓編碼。最後,在重建回來的 影像中有些許失真,我們先偵測出假輪廓再用我們提出的平滑化處理,以 得到更佳的影像。實驗結果顯示,大部份的複雜紋理都可以被重建回來, 而且後處理過也可改善影像品質。 In this thesis, we propose a segmentation-based compression method for color images. First, we split the image by bottom-up quadtree decomposition, and then merge by adaptive region growing. After that, the contours and textures of the segmented regions are encoded. We encode the region texture by polynomial approximation, and encode the region contour using chain code. Finally, because there are some distortion in the reconstructed images, we detect the false contours and apply our smoothing algorithm to get a better image. Experimental results show that most of the complex texture can be reconstructed, and after the postprocessing we can usually have a better image quality.zh_TW
dc.language.isozh_TWen_US
dc.subject影像壓縮zh_TW
dc.subject區域成長zh_TW
dc.subject假輪廓zh_TW
dc.subjectimage compressionen_US
dc.subjectregion growingen_US
dc.subjectfalse contouren_US
dc.title藉由調變式區域成長及假輪廓消除技巧而得的彩色影像壓縮技術zh_TW
dc.titleColor Image Compression by Adaptive Region Growing and False Contours Smoothingen_US
dc.typeThesisen_US
dc.contributor.department資訊科學與工程研究所zh_TW
顯示於類別:畢業論文