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Histogram debugging method of colored image and debugging system thereof

A technology of color image and debugging method, applied in image enhancement, image data processing, instrument and other directions, can solve the problems of difficult to obtain satisfactory results of images, no improvement of image quality, loss of grayscale information, etc., and achieve obvious debugging effect. , to achieve the effect of simplicity and overcome limitations

Inactive Publication Date: 2013-03-27
OCEANOGRAPHIC INSTR RES INST SHANDONG ACAD OF SCI
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  • Application Information

AI Technical Summary

Problems solved by technology

However, most of these debugging methods are encapsulated in the development language package, lacking human-computer interaction
And because the brightness distribution of different images is different, it is obviously difficult to obtain satisfactory results by processing various images in a fixed mode.
[0004] In addition, the existing histogram stretching and equalization algorithms will lose a lot of grayscale information, making the picture monotonous
At present, many users also use the method of adjusting brightness to deal with images with uneven brightness distribution, but this method does not essentially change the histogram distribution of the image, and does not improve the image quality
[0005] In short, the existing histogram optimization technology cannot meet the requirements, and it will cause a lot of inconvenience for users if they encounter such images that are difficult to process

Method used

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  • Histogram debugging method of colored image and debugging system thereof
  • Histogram debugging method of colored image and debugging system thereof
  • Histogram debugging method of colored image and debugging system thereof

Examples

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Embodiment 1

[0093] like Figure 10 as shown, Figure 10 a is the histogram of a certain color image. Its change from 0 to 255 is that it changes little at first (basically maintains the same height), then rises sharply to the highest point, and then drops. Users can set only one partition node, such as Figure 10 As shown in b, the highest point can be set as the partition node to obtain two partitions, so that the former partition shows a monotonically increasing trend, and the latter partition shows a monotonically decreasing trend.

[0094] Then the user sets the respective thresholds of the two partitions, in order to make the number of pixels on both sides of the threshold basically equal, such as Figure 10 As shown in b, the threshold of the former partition is close to the partition node (ie, the highest value), while the threshold of the latter partition is basically in the middle of the partition.

[0095] After utilizing the present invention to debug, the histogram of this ...

Embodiment 2

[0097] Below in conjunction with accompanying drawing, take the debugging of a RGB image histogram as an example, the embodiment of digital image processing is further described in detail by adjusting the color image histogram of the present invention:

[0098] Input an RGB image, the user sets node a and b (0figure 1 , the set partition node is sent to the histogram partition module 103 , and the set partition threshold is sent to the histogram threshold setting module 104 .

[0099] like image 3 , partition node input 309, carry out instruction judgment 302 and query legality 304, if not legal, report an error and provide error information and then reset process 303, if legal, then enter the link of grouping partition nodes 305. like Image 6 As shown, two gray levels of 0 and 255 are added to the partition node 602 to form a node group of a, b, 0, 255; sort it 603 to form a node group of 0, a, b, 255; sort the result Store in the array 604; read the first address 0 and t...

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Abstract

The invention relates to a histogram debugging method of a colored image and a debugging system thereof. According to the method, subarea nodes and subarea thresholds of a histogram of a colored image are arranged; according to an obtained node group with the thresholds, weighted translation calculation is carried out on each gray scale to obtain offset gray scales; and then each the gray scale of the colored image is replaced into each the offset gray scale. In addition, the system comprises a subarea node module, a subarea threshold module, a histogram subarea module, a threshold setting module, a gray scale transformation module and an image correction module. According to the invention, the following advantages are provided: novel functions, simple realization, low cost, and obvious debugging effect and the like. Moreover, according to the invention, a histogram is utilized to realize debugging on RGB image gray scale by a user. Therefore, a limitation on a gray scale debugging function of preset software can be broken through and furthermore, the user can set a random interval of a histogram of an image and a random threshold in the interval according to own needs of the user, thereby embodying strong interactivity, flexibility and generality. Therefore, the invention has a wide application prospect.

Description

technical field [0001] The invention relates to a color image debugging method and system, in particular to a color image histogram debugging method and a debugging system thereof, belonging to the technical field of digital image processing. technical background [0002] Due to the influence of various factors such as shooting light and shooting environment, many current color images often have various uneven brightness distributions. For the viewer of the picture, the uneven light and dark image is not only difficult to read, but also difficult to give a true description of the object being photographed. Especially in the application field of judging by reading images, it is easy for observers to make wrong judgments and cause unnecessary losses. Therefore, it is necessary to adjust the grayscale of the color image to balance the grayscale of the color image and further improve the quality of the color image. [0003] At present, some image processing software can realiz...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/40
Inventor 许岩于砚廷邢攸广王中秋崔浩李晔刘慧项顼马庆锋倪秀辉王芝萍夏卫平杨光
Owner OCEANOGRAPHIC INSTR RES INST SHANDONG ACAD OF SCI
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