一種改進(jìn)的基于過(guò)度分割的圖像彩色化方法
An Improved Colorization Algorithm for Gray-Scale Image Based on Over-Segmentation
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摘要: 黑白圖像的彩色化是圖像處理領(lǐng)域一個(gè)活躍的、有挑戰(zhàn)性的研究課題。該文在總結(jié)圖像彩色化方法的基礎(chǔ)上，重點(diǎn)分析了Levin方法；針對(duì)這種方法處理大尺寸圖像速度較慢的問(wèn)題，提出先對(duì)圖像進(jìn)行過(guò)度分割，再以區(qū)域?yàn)榛締卧M(jìn)行彩色化的方案。實(shí)驗(yàn)表明，該方法能夠在幾乎不影響彩色化效果的前提下，顯著提高處理大尺寸圖像的速度。
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關(guān)鍵詞:
- 黑白圖像;彩色化;過(guò)度分割
Abstract: Colorization of gray-scale image is in general an active and challenging area of research in image processing. In this paper current colorizing algorithms are summarized, of which Levins method is analyzed in particular. According to the speed dropping of Levins method in processing large scale images, a new scheme based on over-segmentation is proposed. Experiments show that the new scheme can remarkably quicken the processing of large scale images, nearly without degrading the colorizing effect. -
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