彩色图像处理

关于彩色图像处理的认识与探究

李时铨

安徽大学

信息与计算科学

2016.5

摘要

随着信息技术的发展,彩色图像的应用也更加广泛。与灰度图像相比,彩色图像携带了更多的可视化信息。彩色图像处理已成为一个重要的研究领域。由于彩色图像中颜色表示的复杂性,本作依照经典RGB模型来进行多重灰度图像处理再合成，而现代彩色图像的处理方法早已是无穷无尽，可见彩色信息在数字图像处理中正得到更大的关注。

灰度图像中的去噪、退化复原、压缩在经过历史的变革以及有层出不穷的办法应对，但是如何同样的作用于彩色图像，想必是有困难的。一副图有许许多多像素的同时，每个像素还带着自己的色彩。基于RGB模型，不难理解，每一幅彩图都是由几张看似灰度的图像叠加形成（基于三原色原理）；同时为了色彩更加丰富多变，各种模型体系也崭露头角。

想必全彩色图像处理是基于伪彩色图像处理，伪彩色处理试图将灰度分层，而全彩色处理试图将色彩分层，给予灰度图一样的“待遇”，完成各项操作之后合成回原来的色彩。同时也不难理解，彩色图像的像素点，是一个个向量，这对未来直接处理彩色图像有着莫大的帮助与延伸。

关键词：彩色图像

均值滤波去噪

Lucy Richardson图像复原

图像DCT变换与反变换

Abstract

With the development of information technology, the application of color image is also more widely. Compared with the gray image, color images carry more visual information.Color image processing has become an important area of research.Because of the complexity of the color in the color image said, according to the classical RGB model to make a multiple gray image processing and synthesis,however，he modern color image processing method is endless, visible color information in digital image processing is of greater concern.

In the gray image noise reduction, degradation of recovery and compression after historical change and there are endless way to deal with, but how also applied to color images, most presumably is difficult.There are many, many pixels of a figure at the same time, each pixel with its own color.Based on the RGB model, it is easy to understand, every color image is formed by some seemingly gray-scale image overlay; At the same time in order to more colorful and changeable, all sorts of model system is emerging.

Must have full color image processing is based on pseudo color image processing, and pseudo color processing to gray-scale stratification, and full color processing to color layer, giving the "treatment", like the gray-scale complete synthesis of back to the original color after the operations.It is not difficult to understand at the same time, color image pixels, is a vector, this directly with color images for the future with a great deal of help and extension.

Key Words：Color image processing

Noise reduction with average filtering

Image restoration by Lucy Richardson

Image DCT transform and inverse transform

目录

【摘要】 ----------------------------------------------------------------------------------------------------------- I

【Abstract】------------------------------------------------------------------------------------------------------ II

§1 彩色图像概论----------------------------------------------------------------------------------------- 1

1.1 RGB彩色模型 ---------------------------------------------------------------------------- 1

1.2 HSI彩色模型 ---------------------------------------------------------------------------- 1

1.3 伪彩色与全彩色处理 ---------------------------------------------------------------------------- 2

§2 彩色图像去噪实现----------------------------------------------------------------------------------------- 3

2.1 图像去噪典型算法 ---------------------------------------------------------------------------- 3

2.2 matlab实现彩色图像去噪 ---------------------------------------------------------------------------- 4

§3 彩色图像复原实现----------------------------------------------------------------------------------------- 5

3.1 图像复原相关算法 ---------------------------------------------------------------------------- 5

3.2 matlab实现彩色图像复原 ---------------------------------------------------------------------------- 6

§4 彩色图像压缩实现----------------------------------------------------------------------------------------- 7

4.1 图像压缩算法 ---------------------------------------------------------------------------- 7

4.2 matlab实现彩色图像压缩 ---------------------------------------------------------------------------- 8

【参考文献】 --------------------------------------------------------------------------------------------------- 11