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High bit-wide digital image dynamic range compression and detail enhancement method

A dynamic range compression and digital image technology, applied in image enhancement, image data processing, graphics and image conversion, etc., can solve the problems of unclear parameter adjustment standards, difficult to achieve real-time engineering processing, and difficult to adjust adaptively, reaching the edge Maintain good characteristics, easy hardware implementation, and enhance the effect of image details

Inactive Publication Date: 2014-08-06
INST OF OPTICS & ELECTRONICS - CHINESE ACAD OF SCI
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Problems solved by technology

However, this kind of algorithm enhances the details of the original contrast with a small difference while enhancing the original contrast, and the phenomenon of over-enhancement appears; the parameter adjustment standard is not clear enough, and it is difficult to achieve adaptive adjustment; in many image processing algorithms There is a phenomenon of gradient inversion; and the calculation complexity is high, it is difficult to meet the requirements of engineering real-time processing

Method used

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Embodiment Construction

[0036] Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. This embodiment is carried out on the premise of the technical solution of the present invention, and the detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0037] The algorithm flow of this embodiment is as follows figure 1 As shown, it is divided into four parts: bad pixel filtering, decomposing the original image into base image and detail image, image fusion, and adaptive transformation function to process the image. The specific implementation process is as follows:

[0038] Step 1, the original high-bit-width digital image bad pixel filtering:

[0039] Generally, the pixels of high-bit-width digital image equipment have certain dead pixels, which will affect the mean square error and average value of the high-bit-width digital image aft...

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Abstract

The invention provides a high bit-wide digital image dynamic range compression and detail enhancement method. The method comprises the steps that S1, an image with pixel defective points being filtered is acquired; S2, the image with the pixel defective points being filtered is decomposed to obtain a base image and a detailed image; S3, the detailed image is enhanced and then fused with the base image; S4, the transformation parameter of a self-adaptive transformation function is obtained according to the average value and the mean square deviation of a high bit-wide digital image, and the self-adaptive transformation function is guided to conduct transformation on the fused image. According to the method, high bit-wide digital images with various different scene features are tested to show that the method can improve the image contrast, enhance the image details and achieve dynamic range compression on the basis that the hierarchical structure of the image is kept, and the method is more suitable for human eye observation or machine analysis and processing. The high bit-wide digital image dynamic range compression and detail enhancement method is used for enhancing and reappearing infrared images and other high bit-wide digital images on a PC.

Description

technical field [0001] The invention relates to a method for compressing the dynamic range of a high-bit-width digital image and enhancing details, and belongs to the fields of digital image preprocessing and infrared imaging. This method effectively enhances and redisplays the original high-bit-width digital image, and the displayed image achieves a good visual effect. After the improvement, the applicable range of the existing algorithm is expanded, the visual effect is enhanced, the image contrast is improved, and the image details are enhanced. , The dynamic range is compressed, the calculation speed is accelerated, and it is easy to process in real time. It can be widely used in various infrared and high bit width digital image detection systems. Background technique [0002] At present, the dynamic range of the digital image that can be displayed on the PC is low, the general grayscale image is 8 bits, and the color is 24 bits and 32 bits. But such images cannot full...

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Application Information

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IPC IPC(8): G06T5/00G06T3/00
Inventor 许波王华闯徐智勇魏宇星
Owner INST OF OPTICS & ELECTRONICS - CHINESE ACAD OF SCI
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