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英语翻译The original and basic way of representing a digital col

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英语翻译
The original and basic way of representing a digital colored image in a computer¡¯s memory is obviously a bitmap.A bitmap is constituted of rows of pixels,contraction of the words¡®Picture Element¡¯.Each pixel has a particular value which determines its appearing color.This value is qualified by three numbers giving the decomposition of the color in the three primary colors Red,Green and Blue.Any color visible to human eye can be represented this way.The decomposition of a color in the three primary colors is quantified by a number between 0 and 255.For example,white will be coded as R = 255,G = 255,B = 255; black will be known as (R,G,B) =(0,0,0); and say,bright pink will be :(255,0,255).In other words,an image is an enormous twodimensional array of color values,pixels,each of them coded on 3 bytes,representing the three primary colors.This allows the image to contain a total of 256x256x256 = 16.8 million different colors.This technique is also know as RGB encoding,and is specifically adapted to human vision.With cameras or other measure instruments we are capable of ¡®seeing¡¯ thousands of other ¡®colors¡¯,in which cases the RGB encoding is inappropriate.
The range of 0-255 was agreed for two good reasons:The first is that the human eye is not sensible enough to make the difference between more than 256 levels of intensity (1/256 =0.39%) for a color.That is to say,an image presented to a human observer will not be improved by using more than 256 levels of gray (256 shades of gray between black and white).Therefore 256 seems enough quality.The second reason for the value of 255 is obviously that it is convenient for computer storage.Indeed on a byte,which is the computer’s memory unit,can be coded up to 256 values.
As opposed to the audio signal which is coded in the time domain,the image signal is coded in a two dimensional spatial domain.The raw image data is much more straight forward and easy to analyse than the temporal domain data of the audio signal.This is why we wiil be able to do lots of stuff and filters for images without tranforming the source data,this would have been totally impossible for audio signal.This first part deals with the simple effects and filters you can compute without transforming the source data,just by analysing the raw image signal as it is.
我没分了,上次用了100多分~郁闷死~什么都没帮上!
原来的和基本的方式代表了数字彩色图像在计算机¡ ¯ s记忆显然是一个点阵图.点阵图是构成行像素,收缩的话¡ ®图片元素韩国.每个像素有一个特别的价值,这决定了它出现的颜色.这个值是合格的由三个数字让分解的颜色,在三基色红色,绿色和蓝色.任何颜色可以看见人眼可以代表这样.分解颜色,在三基色的量化是由一些0和255之间.举例来说,白将编码为R = 255 ,克= 255 ,乙= 255 ;黑色将被称为(俄,克,二) = ( 0,0,0 ) ;和说,光明的粉红将是:( 255,0255 ) .在其他换言之,形象是一个巨大的twodimensional阵列的色彩值,像素,它们各自的编码,对3个字节,代表三基色.这使得图像含有共256x256x256 = 16800000不同的颜色.这项技术是也知道作为的RGB编码,是专门适应人类视觉.与摄影机或其他措施文书,我们有能力¡ ®看到韩国数以千计的其他¡ ®颜色,韩国,在这种情况下的RGB编码是不恰当的.
范围0-255同意两个很好的理由:第一是人类的双眼是不理性足以使之间的差异多于256的水平强度( 1 / 256 = 0.39 % )为一种颜色.这就是说,一个形象,提交给一个人权观察员将不会得到改善使用多于256各级灰色( 256色块之间的黑与白) .因此,256似乎是足够的质量.第二个原因的价值255显然,这是为方便计算机存储.事实上,对一个字节,这是计算机的存储单元,可以编码多达256个的价值观.
作为反对的音频信号是编码在时域上,图像信号的编码在一个二维空间域.RAW图像数据更为直接和发扬容易分析比时域的数据,音频信号.这就是为什么我们wiil能够做到的东西很多和过滤器的图像没有转化源数据,这将是已完全不可能的音频信号.这第一部分的处理很简单,效果和过滤器,您可以计算没有转化源数据,只是通过分析原始图像信号,因为这是