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			 | 
			
	
Is It Necessary To Remove Color
 
Bias Before Applying Color Ratios? 
	
		| 
		 Color bias and gradient 
		removal are linear processes using only addition or subtraction. Color 
		balancing uses multiplication or division. It is generally accepted that 
		color bias correction and gradient removal should be performed before 
		color balancing. For this 
		exercise, the gradients were removed from the individual red, green and 
		blue images. 
		This test shows that 
		removing the color bias before or after applying color ratios makes 
		little or no difference in the final color. However, this is no excuse 
		for not doing the processes in the proper order. It may make a 
		difference. 
		Aperture 
		photometry subtracts the surrounding background level from a star's 
		brightness. So addition or subtraction pixel math has little or no effect on color 
		balance calculations. When using several stars for determining color 
		balance, gradient removal may have a very small effect. 
		The eXcalibrator results, in this example, were essentially identical 
		before and after color bias removal. 
		The eXcalibrator RGB color balance factors are 1.00, 1.26 & 1.63       | 
	 
 
   
	
		| 
		 
		Software Used: 
		
		PixInsight (PI) for gradient removal. 
		
		eXcalibrator for color balance calculations. 
		CCDStack for pixel math and RGB image creation.  | 
	 
 
  
************************ 
  
	
		| 
		 The first pair of images show 
		the initial RGB color combines. Pixel math was used to remove the color 
		bias. The blue data were increased by 484 and the green reduced by 764. 
		The pixel math was applied to unstretched images. The results were 
		equally stretched to make the difference more visible.  | 
	 
 
  
	
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		RGB Ratios 1,1,1 Before Color Bias Removal 
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		RGB Ratios 1,1,1 After Color Bias Removal  | 
	 
 
   
************************ 
  
	
		| 
		 The second two images are 
		with the eXcalibrator color ratios applied to the above 
		images.  These two images are not streched. It is not surprising that a strong color bias is introduced.  | 
	 
 
  
	
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		RGB Ratios 1.00, 1.26, 
		1.63 applied w/o Color Bias Removal 
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		RGB Ratios 1.00, 1.26, 
		1.63 Applied After Color Bias Removal  | 
	 
 
   
************************ 
  
	
		| 
		 The final image pair is the 
		above two images with the color bias removed using pixel math. 
		Non-linear stretching and color saturation were applied equally. These 
		images are the answer to the original question. 
		 The images are essentially 
		identical.   | 
	 
 
  
	
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		Color Balance Set Before Removing Color Bias 
		
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		Color Balance Set After 
		Removing Color Bias  | 
	 
 
  
  
  
  
      
	 
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