该算法利用线性同余模型产生伪随机序列以对图像进行空间置乱，采用异或操作实现图像的灰度变换。
It achieves space chaos of an image with a pseudo-random sequence generated by linear congruential method, and achieves gray chaos by XOR operation.
该算法利用线性同余模型产生伪随机序列以对图像进行空间置乱，采用异或操作实现图像的灰度变换。
In this article we introduced the idea of linear congruence, and the methods to generate pseudorandom integer and real sequences.
此文主要研究用于增强图像的灰度变换方法，包括线性灰度变换、非线性灰度变换与直方图均衡化方法。
This paper mainly tells us the ways of image gray transformation, including linear gray transformation, nonlinear gray transformation and the approach of histogram equalization.
传统的直方图均衡和灰度变换增强算法，不能针对红外图像的目标进行有效地增强。
Traditional histogram equalization and gray-scale transformation algorithms can't realize the enhancement of the target in the infrared image effectively.
这样，可将图像的合成看作两幅图像互补的灰度变换的叠加。
Thus, we propose that the blend of a full-color image can be viewed as superposition of two complementary gray - level transformation images.
超图像观察窗是图像增强处理的一种方式，即灰度变换，它能改变图像的视觉印象。
It is a transformation of the gray level and can change visual perception impression of the image.
介绍了超声医学图像灰度校正常用方法的基本原理，这些方法主要有灰度级校正、灰度变换及直方图修正。
The general theories of gray correction methods for the medical ultrasonic image are introduced in this paper, including gray level correction, gray level transformation and histogram correction.
传统的图像增强方法有灰度变换、直方图修正、直方图均衡、图像平滑和维纳滤波。
The traditional image enhancement approaches include gray-scale transformation, histogram modification, histogram equalization, image smoothing and Wiener filtration.
对原始图像用所提出的判据判断图像的对比度类型，针对不同类型直接确定灰度变换参数，实现图像全局对比度增强。
Contrast type of original image is determined by a new criterion. Gray transform parameters are directly obtained by the new criterion. Global enhancement is implemented to the original image.
利用自开发软件，对图像进行灰度变换和直方图均衡化处理后，采用频域同态滤波的方法对图像进行降噪滤波处理。
After the gray transformation and the histogram equalization, these images were filtered by a frequency-domain homomorphic filter, hence noises in the images were greatly reduced.
传统的图像增强处理是针对图像灰度分布的不同情况，来定义相应的灰度变换函数。
Traditional image enhancement is to define corresponding gray transform function according to gray distribution of the image.
在提出基于灰度变换图像隐藏算法的基础上，分析并比较了几种常用的图像隐藏方法及特点。
Several ways of picture hiding and their characteristics were analyzed and contrasted on the basis of picture hiding of gradation transformation.
提出了应用灰度变换差分替代方式进行图像隐藏的方法。
We present a new method, which combines the method of gray transform and gray difference replacement to hide secret image.
红外图像对比度增强的研究基于灰度变换。
Common infrared image gray transform algorithms are studies in order to enhance infrared image contrast.
帮忙翻一段摘要本文主要研究基于数字媒体处理器TMS320C 6000系列系统的研发，并算法实现图像灰度变换。
This paper mainly studies TMS320C6000 processor based on digital media research, and the series system image gray-scale transform algorithm.
采用图像去噪、灰度变换、直方图均衡化以及非均匀背景修正技术等提高了原始图像成分的清晰度，使图像变得更便于计算机分析和处理。
The use of image denoising, gray-scale transformation, histogram equalization, and uneven background correction techniques make the image more easily processed and analyzed.
图像预处理：采用灰度变换、同态滤波和平滑等方法对图像进行处理，提高了图像的质量。
Image preprocessing: the image is processed by several algorithms including gray level stretch, homomorphic processing and image smoothing, and then the quality of image gets better.
通过确当的途径获取缺陷图像，并对图像进行灰度变换，中值滤波对图像进行增强处理，为下一步图像的进一步的处理做前期的准备。
To obtain defect images through appropriate approach and conduct gray-level transformation, and the images are enhancement processed with median filtering, so as to get ready for further processing.
按照每一部分的特点，设计不同的灰度变换，对图像进行分段线性增强，得到感兴趣目标区的最佳视觉效果。
Based on the characteristic of each part, different gray scale transforms are designed to carry out image linear enhancement to get the best visual effect for the interested area.
因此，可以在维持图像整体的亮度的同时进行图像的暗部灰度的校正，并且可实现最佳的灰度变换。
Therefore, it is possible to correct the dark area gradation of an image while maintaining brightness of the whole image, and to realize preferable gradation conversion.
本文研究了基于灰度变换的自适应实时图像帧积分技术及其在微光电视系统中的应用。
A novel real time adaptive image accumulating technique for low light level (LLL) image enhancement is advanced in this paper.
本文研究了基于灰度变换的自适应实时图像帧积分技术及其在微光电视系统中的应用。
A novel real time adaptive image accumulating technique for low light level (LLL) image enhancement is advanced in this paper.
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