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Image processing system and method based on multi-dimensional image mapping

An image processing and image processor technology, applied in the field of image processing systems based on multi-dimensional image mapping, can solve the problems of not effectively eliminating image redundancy and low compression rate, so as to improve storage efficiency and compression efficiency, reduce redundancy, The effect of saving storage space

Active Publication Date: 2021-07-02
西安锐思数智科技股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although it realizes image compression while ensuring image quality, its compression rate is still not high, and image redundancy has not been effectively eliminated.

Method used

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  • Image processing system and method based on multi-dimensional image mapping
  • Image processing system and method based on multi-dimensional image mapping
  • Image processing system and method based on multi-dimensional image mapping

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0037] like figure 1 Shown, based on the image processing system of multidimensional image mapping, the system includes:

[0038] The image preprocessing unit is configured to perform image grayscale histogram processing on the image to be processed based on a variety of preset grayscale value ranges, and obtain corresponding grayscale histogram characteristic distributions under 27 different grayscale value ranges ;

[0039] The image mapping unit is configured to perform multi-dimensional mapping on the image to be processed based on the obtained gray-level histogram characteristic distribution to obtain a mapping value in each dimension, and establish a multi-dimensional mapping set for each dimension based on the obtained mapping value ;

[0040] The image processing unit includes a plurality of image processors, the number of image processors is the same as the number of dimensions used for multi-dimensional mapping, and each image processor calculates one of the dimens...

Embodiment 2

[0044] On the basis of the previous embodiment, the image mapping unit includes: a feature extraction subunit configured to decompose the image to be processed based on the obtained grayscale histogram characteristic distribution, and obtain the image to be processed in 27 Scale, 9 depths, 3 types of input image feature representation, each scale corresponds to 3 depths and 1 type; the mapping subunit is configured for image features under each scale, each depth, and each type Express, perform image mapping dimension mapping to obtain the mapping values ​​of the image to be processed in 27 dimensions, and establish a multi-dimensional mapping set based on the obtained mapping values.

Embodiment 3

[0046] On the basis of the previous embodiment, the image compression unit calculates the normalized center including the following steps: the total number of categories is denoted as G, and the normalized center is calculated by the following formula

[0047]

[0048]

[0049] ; Among them, G is the total number of categories, c is the normalized number, N is the total number of samples, U G Represents the membership degree matrix in the Gth dimension, V G Indicates the normalization center in the Gth dimension, X G Represents a normalized sample with a small Gth dimension, Represents the center point of the i-th category under the G-th dimension, d is the dimension number of the sample, x j，G Indicates the jth sample point in the Gth dimension, μ ij，G Indicates that the j-th sample under the G-th dimension belongs to the membership degree of the i-th class, and m is the adjustment coefficient, which must satisfy m is the center of normalization.

[0050] Specifica...

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Abstract

The technical field of image processing of the present invention, in particular relates to an image processing system and method based on multi-dimensional image mapping. The system includes: an image preprocessing unit configured to perform image grayscale histogram processing on the image to be processed based on a variety of preset grayscale value ranges, and obtain corresponding grayscale values ​​in 27 different grayscale value ranges. Gray histogram characteristic distribution. It first performs histogram processing on the image to be processed based on different gray values ​​to obtain the distribution of gray histogram characteristics. After processing, the images are finally merged, which greatly reduces the redundancy of similar images and saves storage space and system resources.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an image processing system and method based on multi-dimensional image mapping. Background technique [0002] The reason why image data can be compressed is because there is redundancy in the data. The redundancy of image data is mainly manifested as: spatial redundancy caused by the correlation between adjacent pixels in the image; temporal redundancy caused by the correlation between different frames in the image sequence; correlation caused by different color planes or spectral bands. spectrum redundancy. The purpose of data compression is to reduce the number of bits required to represent data by removing these data redundancies. Due to the huge amount of image data, it is very difficult to store, transmit and process, so image data compression is very important. [0003] The information age has brought about an "information explosion", which has great...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06K9/46
CPCG06V10/50G06F18/213G06F18/23G06F18/22
Inventor 柴秀富
Owner 西安锐思数智科技股份有限公司
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