Data decoding method of rectangular gray scale dot matrix image for data storage

Abstract

The invention discloses a data decoding method of a rectangular gray scale dot matrix image for data storage. The method comprises the following steps: step 1, loading an image in a gray scale bitmap form; 2, searching four auxiliary positioning points of the image; the searching method comprises the following steps: step 2.1, searching a frame position, positions pl and pm of a top edge and a bottom edge, and positions pl and pr of a left edge and a right edge from four edges of an image to the center through four equal division points; 2.2, calculating transverse proportion parameters rh and rv of the to-be-coded image according to the position of the frame and provided coded image size information; step 2.3, the storable data can be adjusted according to the precision and amplitude of the printing equipment, and the high density of data storage is greatly improved by fully utilizing multiple gray levels so as to meet the requirement of mass data storage; and the algorithm of horizontal and vertical RS coding and data distribution is adopted, so that the probability of reduction under the conditions of medium contamination and environmental noise influence is improved.

Description

technical field [0001] The invention belongs to the technical field of data storage, in particular to a data decoding method for a rectangular gray-scale dot matrix image used for data storage. Background technique [0002] At present, with the development of interconnection and big data technology, global data has exploded, and petabyte-scale data has become more and more common. Massive data also has "temperature". While it grows exponentially, it also has hierarchical characteristics. It is classified according to the frequency of access from high to low, and the data can be classified into hot data, warm data, and cold data. [0003] On the one hand, the value of cold data is not necessarily lower than that of hot data, and it will become more important over time, so it is also necessary to ensure long-term safe storage for massive cold data; on the other hand, infrequently accessed data Cold data occupies a large amount of online storage resources, causing serious wast...

AI Technical Summary

Problems solved by technology

[0005] Rectangular dot matrix images have a wide range of application examples, such as Hanxin code, QR code, Data Matrix, etc., but these rectangular image codes were originally designed for data exchange of label information, and in order to adapt to the ability of ordinary equipment to read data, when designing Only black and white represent 0 and 1 of a single bit, and there is a small unit area size limitation, resulting in a small storage capacity of data, the maximum capacity <5k

Therefore, this type of encoding cannot adapt to massive data storage

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