Image-segmentation-based scanning image dedusting method

Abstract

The invention discloses an image-segmentation-based scanning image dedusting method. According to the conventional scanning image dedusting methods, damage such as dust and the like on a scanned original is detected and repaired by the multiple scanning of a scanner, or a dust area in a scanning image is observed and found by human eyes and then dust pixels are replaced by adjacent pixels of the dust area; by the two methods, dust in the scanning image can be effectively removed; however, scanning efficiency can be reduced by the former method, and the later method is insufficiently automaticdue to requirements for the human eyes. According to the method provided by the invention, the real information of the image and the dust are automatically segmented according to the characteristics of the dust area, and then pixels belonging to the dust area are subjected to neighbor linear interpolation for repair. By the technical scheme, the real information of the image and the dust can be accurately and automatically segmented, and the quality of the scanning image with the dust can be greatly improved.

Description

technical field [0001] The invention belongs to the field of digital image processing, and relates to a method for removing dust from scanned images based on image segmentation. Background technique [0002] Scanners convert optical images into digital images suitable for storage, transmission, and printing. When using a scanner to scan originals (including photos, films, books, etc.), due to the influence of artificial traces (such as dust and fingerprints) on the scanned originals, there will be damage such as dust in the scanned digital image. Therefore, how to accurately detect the dust area in the scanned image and repair it has always been a difficult problem that the scanner needs to solve. [0003] There are two traditional ways to remove dust from scanned images, one is to realize through the photosensitive device of the scanner, and the other is to directly detect and repair the scanned image. The former is to use the scanner to scan the scanned original multiple...

AI Technical Summary

Problems solved by technology

The former is to use the scanner to scan the scanned original multiple times at different angles to detect and repair the damage such as dust. This type of method has disclosed many methods, which can effectively remove the dust in the scanned image, but due to the need for multiple scans , so it will lead to a decrease in scanning speed and affect the production efficiency of the scanner; the latter generally opens the image in third-party software, and then finds out the dust area in the scanned image through human observation, and then the geometry of the adjacent pixels in the dust area and Use the color to choose which pixel to replace the dust pixel. This method can also effectively remove the dust in the scanned image, and the effect will be very ideal, but because it needs to be realized by third-party software, it needs human eyes to participate, which is not automatic enough, and If the scanned image data is large, the workload will be very large

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