Image correction
An image captured for a currency note is preprocessed to correct pixel intensity values to expected pixel intensity values. The corrected image is passed to a currency validator for determining whether the currency not is genuine or non-genuine.
1. A method, comprising:
identifying pixel intensity values for pixels of an image that are outside a range for a currency note that the image represents; and
correcting the pixel intensity values for the corresponding identified pixels to fall within the range and thereby creating a modified image wherein processing a Modulation Transfer function for determining factors for attributes of the identified pixels requiring correction.
2. The method of claim 1 further comprising, passing the modified image to a currency note validator for determining whether the currency note is genuine or non-genuine.
3. The method of claim 1 , wherein identifying further includes subdividing the image into subsets of the pixels and processing each subset for identifying the pixel intensity values.
4. The method of claim 3 , wherein subdividing further includes determining a total number of subsets and a pixel density size for each subset as a function of an image pixel density for the image.
5. The method of claim 1 , wherein processing further includes adjusting a brightness factor for a brightness attribute in some of the identified pixels in response to the determined factors.
6. The method of claim 1 , wherein processing further includes processing a contrast shift factor for a contrast attribute in some of the identified pixels in response to the determined factors.
7. The method of claim 1 , wherein processing further includes processing an intensity factor for an intensity attribute in some of the identified pixels in response to the determined factors.
8. The method of claim 7 , wherein processing further includes extrapolating new pixel intensity values for the pixel intensity values by processing a mapping function based on a model image for the currency note.