Self-adaptive detection method for spots of old movie

Abstract

The invention discloses a self-adaptive detection method for spots of an old movie. The method comprises the steps that the local standard difference of different macro blocks of the current frame is estimated through an optimum matching block; spot detection is conducted on pixel points in the image of the current frame through an initial threshold, an initial detection result is recorded as M0, and the number of initial spot blocks is recorded as n0; an iteration step length delta epsilon is added to the initial threshold, a self-adaptive spot detection index is judged again, an iterative detection result is recorded as M1 and the number of iterative spot blocks is recorded as n1; whether the number n0 of the initial spot blocks is equal to the number n1 of the iterative spot blocks or not is judged, if n0 is equal to n1, the facts that new spots do not occur after the initial threshold is increased and M0 is equal to M1 are indicated, and then the previous step is executed; if n0 is not equal n1, the fact that a newly added area S0 which is not communicated with the initial detection result occurs in the iterative detection result is indicated, and then the next step is executed; and if the newly added area satisfies judgment conditions, the newly added area is a spot area, and if the newly added area does not satisfy the judgment conditions, the newly added area S0 is removed. Since proper thresholds are generated for the image of each frame by adopting a threshold iteration method, the self-adaptive detection method improves the detection accuracy and the self-adaptability.

Description

technical field [0001] The invention relates to the field of computer image processing, in particular to an adaptive detection method for spots in old movies. Background technique [0002] Old film and television materials are not only precious cultural materials, but also have important historical and literary value, and are the precious spiritual wealth of the country. For a long time, due to long-term storage and traditional storage media are not conducive to the preservation of image data, a large number of old film materials have been seriously damaged. Converting these image data to digital format is currently an effective means to protect these precious materials. However, due to limited storage conditions and repeated playback, old film films often suffer from various damages, which greatly reduces the integrity and readability of digital information; the traditional repair method based on photoshop software is slow, expensive, and inefficient. It cannot be used for...

AI Technical Summary

Problems solved by technology

[0007] 1) The SDI detection algorithm only considers the temporal discontinuity of the spots, but does not consider the spatial consistency of the spots, and the detection accuracy is low;

[0008] 2) The ROD algorithm is very dependent on the accuracy of motion estimation, and needs to manually adjust three different thresholds, so the adaptability is low

[0009] In short, the above two traditional detection methods use fixed threshold detection for different regions of a frame of image, which cannot accurately detect spots in different regions of a frame of image, and the detection accuracy and adaptability are poor.

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