Question

请英语高手进来，帮我翻译成汉语

To use the computer for image analysis to achieve the required results of the technology. Also known as image processing.
The basic content of image processing generally refers to digital image processing. Digital image refers to a digital camera, scanner and other equipment have been sampling and digital received a large two-dimensional array, the array of elements known as pixels, and its value as an integer, known as the gray value. Image processing technology, including the main elements of image compression, and enhanced recovery, match, describe and identify three parts.
Digital images are compressed by the image of an enormous amount of data, a typical digital image is usually from 500 × 500 or 1000 × 1000 pixels composition. If the image is dynamic, is its greater volume of data. Therefore image compression for image storage and transmission are very necessary.
There were two types of compression algorithm, yet that is really similar to the methods and means. The most common non-distortion of space or time compression from adjacent pixels on the value of the poor, and then encoded. Run code is such compression code example. Approximate image compression algorithm used to exchange most of the way, such as the fast Fourier transform images or discrete cosine transform. Well-known, as the international image compression standard JPEG and MPEG are similar to a compression algorithm. The former used for still images, which used to moving images. They have been chip.
Image enhancement and recovery image enhancement goal is to improve the quality of images, such as increasing contrast, remove the ambiguity and noise, that geometric distortion; image restoration is known in the vague assumption that the model or the noise, trying to estimate the original image of a Technology.
Image enhancement by the methods used can be divided into the frequency domain law and space domain law. The former of the two-dimensional image as a signal, based on their two-dimensional Fourier transform the signal enhancement. Low pass filter (that is, only low-frequency signals through), can remove the map of noise, a high pass filter, can enhance the edge of high-frequency signals, and so on, so that the fuzzy picture has become clear. A representative of the space domain algorithm for a local law and the average median filter (from the middle of local jurisdictions adjacent pixels) Act, they can be used for the removal or weakening of noise.
还有：
Early digital image recovery from the frequency domain is the concept. Is a modern take algebra way through the equation of a large group to recover the ideal picture.
Image matching, describe and identify the image to compare and registration, through the points system from the characteristics of images and the relationship between the images are symbols of the description, then compare it with the model to determine their classification. Image Matching trying to establish between the two pictures of the geometric relationship, the measure of their similar or different level. For the match between the image or picture and map the registration, such as testing different time taken between the features of the picture changes, to identify objects movement of the track.

不要翻译器翻译的，谢谢

Answer 1

用计算机图像分析，以达到所需的结果的技术。也称为图像处理。
的基本内容，图像处理，一般是指数字图像处理。数字图像是指一台数码相机，扫描仪和其他设备已采样和数字上获得了大量的两维数组，数组的元素称为像素，和它的价值是作为一个整数，称为灰度值。图像处理技术，包括的主要内容，图像压缩，并提高采收率，匹配，描述和识别三部分。
数字图像压缩所的形象，大量的数据，一个典型的数字图像通常是由500 × 500或1000 × 1000像素组成。如果图像是动态的，是其更大的数据量。因此，图像压缩的图像存储和传输是十分必要的。
有两种类型的压缩算法，然而，这实在是类似的方法和手段。最常见的非失真的空间或时间压缩，从相邻像素对价值的穷人，然后编码。运行代码是这样的压缩编码的例子。近似的图像压缩算法用来交换，大部分的方式，如快速傅立叶变换的图片或离散余弦变换。著名的，由于国际图像压缩标准JPEG和MPEG类似的压缩算法。前者用于静止图像，用于移动图像。他们已芯片。
图像增强和复原图像增强的目标是改善图像质量，例如增加相反，消除不明确的噪音，几何失真;图像恢复是在已知的含糊不清的假设，即模型或噪音，试图估计原形象的一个技术。
图像增强所使用的方法可分为频域法和空间域的法律。前者的两维图像作为一个信号的基础上，他们的两维傅立叶变换的信号增强。低通滤波器（即，只有低频信号通过） ，可以消除地图的噪音，高通滤波器，可以提高边缘的高频率信号等，使模糊的图片，已成为明确的。代表空间域算法为当地的法律和平均中值滤波（从中东当地的司法管辖区相邻像素）法，它们可以用来去除或削弱噪音。