Image correction method and processor

An image correction method, comprising:

• performing a feature point search on a quick response (QR) code image to determine a plurality of feature points in the OR code image;
• dividing a coded area of the OR code image into a plurality of sub-regions according to the feature points;
• and
• determining a compensation vector for each of the sub-regions according to the feature points corresponding to each of the sub-regions, and compensating and correcting each of the sub-regions according to the compensation vector of each of the sub-regions to obtain a corrected image,
• wherein the step of dividing a coded area of the QR code image into a plurality of sub-regions according to the feature points comprises:
• dividing the coded area into the sub-regions according to the feature points by using a constraint of regarding at least one of the feature points as a vertex of one of the sub-regions, and
• wherein the step of determining a compensation vector for each of the sub-regions according to the feature points corresponding to each of the sub-regions, and compensating and correcting each of the sub-regions according to the compensation vector of each of the sub-regions to obtain a corrected image comprises:
• determining a horizontal unit compensation vector in a horizontal direction and a vertical unit compensation vector in a vertical direction of each of the sub-regions according to the feature points corresponding to each of the sub-regions;
• and
• compensating and correcting each of the sub-regions according to the horizontal unit compensation vector and the vertical unit compensation vector of each of the sub-regions.

A processor, executing a computer program to implement an image correction method, the image correction method comprising:

• performing a feature point search on a quick response (QR) code image to determine a plurality of feature points in the QR code image;
• dividing a coded area of the QR code image into a plurality of sub-regions according to the feature points;
• and
• determining a compensation vector for each of the sub-regions according to the feature points corresponding to each of the sub-regions, and compensating and correcting each of the sub-regions according to the compensation vector of each of the sub-regions to obtain a corrected image,
• wherein the step of performing a feature point search on a QR code image to determine a plurality of feature points in the QR code image comprises:
• searching the QR code image to find a plurality of finder patterns therein;
• and
• finding and determining the feature points according to the finder patterns,
• wherein the step of finding and determining the feature points according to the finder patterns comprises:
• searching each of the finder patterns to find a plurality of vertices close to the coded area therein as the feature points, and searching a correction reference pattern in the QR code image to find a center point therein as one of the feature points, and
• wherein the step of searching each of the finder patterns to find a plurality of vertices close to the coded area therein as the feature points comprises:
• searching along a search direction by using a center point of each of the finder patterns as a starting point to determine an outer edge point of each of the finder patterns, and searching along outer edges of each of the finder patterns by using the outer edge point as a starting point of each finder pattern to determine the vertices.