Objectives: To demonstrate the principle of color balancing in color cameras especially the post recording correction of improperly color balanced images.
Tools: Scilab with SIP toolbox
Procedure: We begin with several improperly color balanced images with several objects of different colors present. These have their color balance settings varied to show the effects of white balancing.
The right panel shows the result of the correction using the white patch algorithm. The images below show a drastically wrongly color balanced image corrected using both the white patch and grayworld algorithms
As can be seen from the images, the correction for both algorithms is generally acceptable. The white patch has more color fidelity especially in the red region while the grayworld is more uniform. However, for images which are dominated by a ceratin color, the gray world algorithm fails in that it generally overcorrects for a complimentary color. Hence, the white patch algorithm is a better all around method.
Evaluation: For the partially completed work, a grade of 7 is the highest appropriate score, as the algortihms were already implemented.
Give remarks on which technique you think worked better and why. Also, give your self-grade.
ReplyDelete