23-02-2013, 10:15 AM
Image Editing With Spatiograms Transfer
Image Editing.pptx (Size: 182.06 KB / Downloads: 25)
ABSTRACT
Histogram equalization is a well-known method for image contrast enhancement. But histograms do not include any information on the spatial repartition of colors.
To cope with this lack of spatial information, spatiograms have been recently proposed for tracking purposes.
Here we address the problem of local retouching of images by proposing a variational method for spatiogram transfer.
INTRODUCTION
Image editing also called photo retouching, refers to processes that create a transformed version of a given image.
A spatiogram is an image descriptor that combines a histogram with the mean and the variance of the position of each color.
DISADVANTAGES OF EXISTING SYSTEM
One fundamental weakness of histograms is that the spatial structure of an attribute in an image is neglected
Two pixels having the same color in the original image can have different color values in the final corrected image.
APPLICATIONS
Image Completion
Inpainting
Shadow Removal
Highlight Removal
CONCLUSION
Here we have proposed a variational formalism to realize spatiogram transfer and addressed different image processing problems such as image completion or shadow and flash removal.
We have also applied the process to shadow removal