18-07-2012, 11:36 AM
Example-Based Color Transformation of Image and Video Using Basic Color Categories
Image and Video Using Basic Color Categories.ppt (Size: 2.58 MB / Downloads: 38)
INTRODUCTION
transfer colors according to preference
11 basic color categories (BCCs)
black, white, gray (the achromatic ones),
red, green, yellow, blue, brown, purple, orange, and pink (the chromatic ones)
AIM TO IMPLEMENT THE METHOD
>>transfer colour of image with less user interaction
>>setting reference image - containing target colour tone
>>colour stylization into three categories: - shift all the pixel values in same way - edit a specific image region with specific colour value - adjust the colour value of each colour domain separately
First method
Adds same colour offset to all pixel
Multiply all the pixel value
Moving entire colour value
Second method
- completely different from original image
>>colour value at desired image region
Needing precise manual operation
Third method
changing image
>>adding suitable quantity of colour to colour domain
- Complex operation
Method followed-
Less manual operation
Computation of mean and standard deviation
- colour channel in input and reference image
- transferred colour of each pixel
Unchanging pixel original preceptual category
- colour transformation
- Based on theory of basic colour terms
TRANSFORMING THE COLOUR IMAGES
Handling the Illuminant Color in Images
>> D65 illuminant
>> Applying colour constancy algorithm
The color-by-correlation method
>> Estimating illuminant colour
>> Most promising estimation method
>> Inaccuracy performance
Color Naming Method
>> initial color naming
>> fuzzy color naming