With the rapid development of digital computers and image processing techniques, images in digital form are becoming increasingly popular for viewing, transmitting, and printing. The digital camera is a powerful tool to capture images for use in image processing and color communication.However, most digital cameras were designed to duplicate 'preferred' rather than 'accurate' image reproductions. The camera manufacturers added specific image enhancement and color adjustment processes to make the digital camera reproductions more preferable. The process resulted in significant color differences between the scene and their image reproduction. The scheme of 'preferred reproduction' violates the basic idea of WYSIWYG(What You See Is What You Get) . Therefore, a color restoration model is needed to correct the digital camera images for a better match of color management.The proposed study used GretagMecbach ColorChecker as a tool to relate color stimuli in real scene and digital camera image in sRGB format. Several models were tested to see if the method based on polynomial transformation can make possible to map scene colors to image colors. And select the best one for future application.
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