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Assignment范文:Digital Image Processing Technology

2017-12-13 来源: 51due教员组 类别: 更多范文

下面为大家整理一篇优秀的assignment代写范文- Digital Image Processing Technology,供大家参考学习,这篇论文讨论了数字图像处理技术。数字图像处理技术,是一门采用计算机和其他数字化技术对图像信息进行处理的新技术。人类获取外界信息有视觉、听觉等多种方法,但绝大部分是来自视觉所接受的图像信息。因此,图像处理技术的广泛研究和应用是必然的趋势。图像处理虽然在理论方法研究上已取得不小的进展,但它本身是一个比较难的研究领域,对该领域的研究仍存在不少困难。

Digital Image Processing Technology,数字图像处理技术,assignment代写,paper代写,留学生作业代写

Digital Image processing technology is a new technology to deal with image information by computer and other digital technology. Image processing science and technology has become the subject of study and study in many disciplines, such as engineering, computer science, communication Science, information science, military, public security and medicine. This article from the basic concept of digital image processing, research content as the starting point, focus on the digital image restoration technology, finally introduced the Digital image processing system, but because the Digital Image processing technology field is extremely extensive, and many other disciplines are inextricably linked, therefore, the study of this technology requires further human efforts.

"Graph" is the distribution of light or reflected light, "like" is the impression or recognition of the human visual system in the brain. The former is objective, and the latter person's feeling, the image should be the combination of the two. Image processing is the processing of image information to meet the needs of human visual psychology and practical application. The human obtains the outside information to have the vision, the hearing, the sense of touch, the smell, the taste and so on many methods, but the most is the image information which receives from the vision, namely the so-called "believing". Therefore, the extensive research and application of image processing technology is an inevitable trend.

Because the image array is very large, it is processed directly in the space domain, which involves a large amount of computation. Therefore, a variety of image transformation methods, such as Fourier transform, Walsh transform, discrete cosine transform, and other indirect processing technology, transform the processing of space domain into transform domain processing, not only can reduce the computational amount, but also can obtain more effective processing. At present, the wavelet transform of new research has good localization in both time domain and frequency domain, and it is widely and effectively applied in image processing.

Compressed image coding compression technology can reduce the amount of data describing the image, in order to save image transmission, processing time and reduce the memory footprint. Compression can be obtained without distortion, or under allowable distortion conditions. Coding is the most important method in the compression technology, it is the earliest and mature technology in the image processing technology.

The purpose of image enhancement is to improve image quality, such as noise removal and image clarity. Image enhancement does not take into account the causes of image quality reduction, highlighting the areas of interest in the image. If the high frequency component of the image is enhanced, the contour of the object in the image can be clear and the detail is obvious. As for image restoration, we will discuss it in detail below.

The amount of information processed by Digital image processing system is very large, which has certain requirements for processing speed and precision, and the application range of the system is quite extensive. Therefore, the current Digital image processing system has a variety of structures, and its commercial products are more kinds. Classification by use, can be divided into special and general-purpose two broad categories. Specialized systems are designed for special purposes and generally require simplicity, rapidity, accuracy and economy. Therefore its structure is simpler than the general system, the processing purpose and the function are clear, the scale is also small. The UK Quantimet720 Image Analyzer, for example, is designed to quantitatively quantify the microstructure of a material. Computed tomography scanning system for the diagnosis of disease in human or brain tissue. General system processing function is complete, the application is also more extensive. Therefore, its structure is more complex and large, such as the PRL system of Pittsburg University, the United States remote sensing image processing system is a large scale, high speed, complex structure of the image processing system.

Digital image processing, as a discipline, was formed in the the early 1960s, while image processing has made great progress in the research of theoretical methods, but it is a difficult research field, and there are still some difficulties in this field. This paper starts with some basic knowledge of digital image processing, this paper introduces the development and research contents of the technology, but it is only a very small part of the technology, and it is believed that with the progress of science and technology, especially the rapid development of computer technology, the research on Digital image processing technology will achieve more remarkable achievements.

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