Automatic White Balance Algorithm through the Average Equalization and Threshold

勤益科大機構典藏 > 電資學院 > 資訊工程系(所) > 【資訊工程系所】期刊論文 > Item 987654321/7245

請使用永久網址來引用或連結此文件: http://ir.lib.ncut.edu.tw/handle/987654321/7245

題名:	Automatic White Balance Algorithm through the Average Equalization and Threshold
作者:	張蓺英
貢獻者:	資訊工程系
日期:	2012-07
上傳時間:	2018-05-24 09:14:11 (UTC+8)
摘要:	Automatic White Balance (AWB) is one of the important functions for digital cameras. The purpose is removing the color cast caused by the un-canonical illuminants where the image captured at. Images with color cast always lose the color contrast and variations, especially those with heavy color cast. For traditional white balance algorithms, the lost color contrast and variations would probably bring the incorrect color temperature predictions and the lack of contrast in the output images. In this paper, a new automatic white balance algorithm through the average equalization and threshold (AWBAAET) is proposed. The proposed approach keeps the assumption of gray world method (GW) and the wide color range of color histogram stretching algorithm (CHS) at the same time. In the simulation results, the proposed algorithm can meet the theory of GW, with similar averages on the R, G, and B channels. Also, it can enhance the color contrast and variances as CHS algorithm efficiently, without over stretching the color range and changing the character of the original image. © 2012 AICIT. (13 refs)
關聯:	IJACT
顯示於類別:	[資訊工程系(所)] 【資訊工程系所】期刊論文

文件中的檔案:

沒有與此文件相關的檔案.

檢視Licence

在NCUTIR中所有的資料項目都受到原著作權保護.