红外与激光工程
紅外與激光工程
홍외여격광공정
INFRARED AND LASER ENGINEERING
2014年
z1期
238-242
,共5页
郭惠楠%曹剑中%王华%张建%杨洪涛
郭惠楠%曹劍中%王華%張建%楊洪濤
곽혜남%조검중%왕화%장건%양홍도
机器视觉%高动态范围%颜色管理%数字相机
機器視覺%高動態範圍%顏色管理%數字相機
궤기시각%고동태범위%안색관리%수자상궤
machine vision%HDR%color management%digital camera
数字成像设备在传输、显示图像时需要进行设备的特性化处理,该过程是设备颜色管理中的重要环节。为了保证输出图像的色彩复现能力,高动态范围数字相机需要根据设备自身特性进行特性化。现有特性化过程一般针对8位数字相机,并且转换矩阵的标定较为复杂,容易产生系统误差,矩阵精度易受影响。针对上述问题,提出了一种高动态范围彩色数字相机颜色管理方法,利用相机输出图像与被摄目标的色彩属性建立了RGB色彩空间到CIE1931 XYZ色彩空间的映射关系,并采用最小二乘拟合法对映射矩阵进行标定,最终将相机的RGB色彩空间转换至sRGB标准色彩空间,解决了高动态相机的特性化问题。实验证明,该方法操作简单,设备通用性较强,拟合均方误差优于0.08,具有较好的鲁棒性。
數字成像設備在傳輸、顯示圖像時需要進行設備的特性化處理,該過程是設備顏色管理中的重要環節。為瞭保證輸齣圖像的色綵複現能力,高動態範圍數字相機需要根據設備自身特性進行特性化。現有特性化過程一般針對8位數字相機,併且轉換矩陣的標定較為複雜,容易產生繫統誤差,矩陣精度易受影響。針對上述問題,提齣瞭一種高動態範圍綵色數字相機顏色管理方法,利用相機輸齣圖像與被攝目標的色綵屬性建立瞭RGB色綵空間到CIE1931 XYZ色綵空間的映射關繫,併採用最小二乘擬閤法對映射矩陣進行標定,最終將相機的RGB色綵空間轉換至sRGB標準色綵空間,解決瞭高動態相機的特性化問題。實驗證明,該方法操作簡單,設備通用性較彊,擬閤均方誤差優于0.08,具有較好的魯棒性。
수자성상설비재전수、현시도상시수요진행설비적특성화처리,해과정시설비안색관리중적중요배절。위료보증수출도상적색채복현능력,고동태범위수자상궤수요근거설비자신특성진행특성화。현유특성화과정일반침대8위수자상궤,병차전환구진적표정교위복잡,용역산생계통오차,구진정도역수영향。침대상술문제,제출료일충고동태범위채색수자상궤안색관리방법,이용상궤수출도상여피섭목표적색채속성건립료RGB색채공간도CIE1931 XYZ색채공간적영사관계,병채용최소이승의합법대영사구진진행표정,최종장상궤적RGB색채공간전환지sRGB표준색채공간,해결료고동태상궤적특성화문제。실험증명,해방법조작간단,설비통용성교강,의합균방오차우우0.08,구유교호적로봉성。
Digital imaging devices require color space characterization while transferring or showing image between various devices which is a crucial part of color management for digital devices. In order to keep the color reproduction ability for output image, a high dynamic range digital (HDR) camera requires characterization based on the device properties. For existing characterization algorithms, which are in most cases for 8- bit- digital cameras, the processes of transformation matrix calibration are involved in some complex approaches, which are easy to cause system errors and influence the precision of color space transformation matrix. Accordingly, a color management approach was proposed for a high dynamic range colorful digital camera that using a color space mapping from camera RGB space to CIE1931 XYZ color space to estimate the function relation between two color spaces and using the least square method to achieve color matrix calibration. Eventually the camera RGB color space was transformed to sRGB standard color space which achieves characterization for HDR camera. Experimental results show that this method is of good robustness and easy to realize as well as the mean square error is less than 0.08.