模拟图像处理与数字图像处理

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📜 模拟图像处理与数字图像处理

📅 最后修改于: 2020-12-30 10:19:53 🧑 作者: Mango

实际上，我们周围的每个场景都会形成一幅图像，而这涉及图像处理。

图像由二维模拟和包含沿x和y空间轴排列的颜色信息的数字信号形成。

模拟图像处理应用于模拟信号，并且仅处理二维信号。图像由电信号操纵。在模拟图像处理中，模拟信号可以是周期性的或非周期性的

模拟图像的示例是电视图像，照片，绘画和医学图像等。

将数字图像处理应用于数字图像(小像素和元素的矩阵)。为了处理图像，有许多软件和算法可用于执行更改。数字图像处理是影响每个人生活的发展最快的行业之一。

数字图像的示例是颜色处理，图像识别，视频处理等。

数字信号处理是关于处理人类交互的模拟信号或现实信号(例如语音)的全部。

DSP系统通过使用转换器将数字信号转换为模拟信号，反之亦然。

数字图像处理是一种特殊类型的处理器，适用于每个电子设备，无论它是CD，移动电话，战场，卫星，医疗设备还是语音检测机等。

模拟图像处理和数字图像处理之间存在以下差异：

Analog Image Processing	Digital Image Processing
The analog image processing is applied on analog signals and it processes only two-dimensional signals.	The digital image processing is applied to digital signals that work on analyzing and manipulating the images.
Analog signal is time-varying signals so the images formed under analog image processing get varied.	It improves the digital quality of the image and intensity distribution is perfect in it.
Analog image processing is a slower and costlier process.	Digital image processing is a cheaper and fast image storage and retrieval process.
Analog signal is a real-world but not good quality of images.	It uses good image compression techniques that reduce the amount of data required and produce good quality of images
It is generally continuous and not broken into tiny components.	It uses an image segmentation technique which is used to detect discontinuity which occurs due to a broken connection path.