英语翻译Probablythemostvisibleimageprocessingisoccurringinthedevelopmentofstandardsforimageandvideocompression.JPEG,MPEG,anddigitaltelevisionareallhighlyvisiblesuccessstories.Chapter52looksatmethodsforstillimageco

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英语翻译
Probably the most visible image processing is occurring in the development of standards for image and video compression.JPEG,MPEG,and digital television are all highly visible success stories.Chapter 52 looks at methods for still image compression including JPEG,wavelet,and fractal coders.Image compression is successful because image samples are spatially correlated with their neighbors.Operators such as the discrete cosine transform (DCT) largely remove this correlation and capture the essence of an image block in a few parameters that can be quantized and transmitted.The transform domain also enables these coders to exploit limitations in the human visual system.Chapters 55 and 56 extend these approaches to video and television compression,respectively.Video compression achieves signicant additional compression gains by exploiting the temporal redundancy that is present in video sequences.This is done by using simple models for modeling object motion within a scene,using these models to predict the current frame,and then encoding only the model parameters and the quantized prediction errors.
Images are often distorted when they are recorded.This might be caused by out-of-focus optics,motion blur,camera noise,or coding errors.Chapter 53 looks at methods for image and video restoration.This is the most mathematically based area of image processing,and it is also one of the areas with the longest history.It has applications in the analysis of astronomical images,in forensic imaging,and in the production of high-quality stills from video sequences.

Answer 1

最可看见图象处理在标准的发展大概发生图象和视频压缩的.JPEG、MPEG和数字式电视是所有高度可看见的成功案例.第52章看方法为寂静的图象压缩包括JPEG、小波和分数维编码人.因为图象样品空间地关联与他们的邻居,图象压缩是成功的.操作员例如分离余弦变换(DCT)主要取消这种交互作用并且抓住一个图象分块的本质在可以是使量子化的一些个参量的并且传送了.变换领域也使这些编码人利用在人的视觉系统的局限.第55章和第56章对录影和电视压缩扩大这些方法,分别.视频压缩通过利用是存在录影序列的世俗多余达到signicant另外的压缩获取.这做通过使用塑造的对象行动简单的模型在场面之内,使用这些模型预言当前框架,然后输入式样参量和仅使量子化的预言错误.
当他们被记录时,Images经常被变形.这也许由焦点光学、行动迷离、照相机噪声或者编码错误造成.第53章看方法为图象和录影恢复.这是最数学上基于区域图象处理,并且它也是其中一个与悠久的历史的区域.它有应用在对天文学图象的分析,在法庭想象和在优质平静的生产从
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