The principal properties of human visual system are analysed, then a wavelet-based algorithm for image contrast enhancement is proposed.
在分析视觉系统特性的基础上 ,提出了一种基于小波分析的图像对比度增强算法。
Considering human visual characteristics,a new nonlinear image contrast enhancement method based on curvelet is proposed.
实验表明,本文算法是一种简单而有效的图像对比度增强方法,不仅图像视觉效果改善明显,层次感更强,而且避免了传统图像增强方法的噪声过增强。
The weak but useful signal limits the OCT imaging speed,detection sensitivity,signal-to-noise ratio and image contrast.
仿真结果:表明对OCT成像有贡献的背向散射光强是样品臂入射光强的10-8~10-10,这样微弱的有用信号限制OCT系统的成像速度、探测灵敏度、信噪比和图像对比度等系统的性能。
Irradiances reflected from object and backscattered from intervening water are calculated respectively,and the relationship between image contrast and imaging distance is analyzed based on previous computation expressions.
对条纹激光扫描成像系统中的像面照度特性进行了理论和实验研究,推导出了目标反射光照度和后向散射光照度的计算式,分析了图像对比度与成像距离间的关系,并进行了极限成像距离的水下实验。
We get the theoretical relationship of visibility distance and image contrast and resolution,and present the formulas for image synthesizing.
本文分析了雨雾天气下大气介质对户外场景成像的影响 ,通过输运理论与解析理论的结合 ,得出了能见距离与图像对比度及分辨率的理论关系 ,给出了图像合成的公式 ,并且通过实验把模拟产生的图像与实际拍摄的图像进行了比较 。
In this paper,we research on the enhancement of low-contrast images.
低对比度图像具有灰度范围较窄、相邻像素的空间相关性高、灰度变化不明显等特点。
In a sensed image of long distance, the gray levels of target and background are hardly distinguishable, which results in a low-contrast image.
实验结果表明,该方法能够有效的增强低对比度图像中的弱小目标。
Experiment results are obtained by applying the edge detector on the noise images and the low-contrast images,which prove to be more efficient than the Sobel and the Canny edge detectors.
提出了一种基于多方位小结构元素的抗噪膨胀腐蚀算法,通过实验证明,该算法对噪声图像和低对比度图像都能达到令人满意的检测效果,与经典的Sobel算子、Canny算子相比,具有定位准确,边缘连续、清晰,运行效率高等特点。
A novel low contrast image enhancement approach based on the second generation curvelet is proposed.
针对传统图像增强方法用于低对比度图像时,存在对噪声敏感、局部过增强等问题,提出了一种基于第二代Curvelet变换的增强方法。
Selection of the subsection point is the key to enhance low contrast image under light background by subsection linear transformation.
采用分段线性变换对白天亮背景下低对比度图像序列进行对比度增强,最关键的是分段点的选取。
Contrast Enhancement of Image Adapting to Color Space
适应彩色空间的图像对比度增强算法
Common infrared image gray transform algorithms are studies in order to enhance infrared image contrast.
红外图像对比度增强的研究基于灰度变换。
Design and Realization of Embedded Fog-degraded Image Contrast Enhancement System
嵌入式雾天降质图像对比度增强系统设计
Improved Color Image Contrast Enhancement Method Based on GLG
基于GLG算法的彩色图像对比度增强改进方法
Algorithm of Image Contrast Enhancement Based on Mathematical Norphology
一种基于数学形态学的图像对比度增强算法
An Improved Algorithm for Shape Preserving Contrast Enhancement
一种改进型保持形状的图像对比度增强算法(英文)
The Research of Contrast Enhancement Methods of Fog-degraded Images
雾天降质图像的对比度增强方法研究
An Adaptive Contrast Enhancement Algorithm for Infrared Image
一种红外图像自适应对比度增强算法
To increase the contrast of(a photographic image).
增加（照片图像）的对比度
Infrared image contrast enhancement with in-complete beta transform in wavelet domain
小波域非完全贝塔变换增强红外图像对比度
An Algorithm of Edge Detection Based on Fuzzy Enhancement of Contrast among Successive Regions
图像边界检测的区域对比度模糊增强算法
An Effective Modified Retinex Algorithm for Adaptive Contrast Enhancement of Image
一种高效地修正Retinex图像自适应对比度增强算法
A study of local contrast enhancement of medical ultrasound image
医学超声图像局部对比度增强方法研究
Nonlinear Image Contrast Enhancement Based on Curvelet Transform
基于曲波变换的图像非线性对比度增强
Methods and Implementation of Contrast Enhancement for Xray Medical Image
X线医学图像的对比度增强方法与实现
The optimum threshold determined by the theory of image segmentation is to be the crossover point of the fuzzy enhancement, in order to enhance the contrast of image.
利用图像分割原理确定的最佳阈值作为模糊增强的分界点,完成对图像的对比度增强。
Image preprocess In star algorithm the image preprocess includes 3 operations, which are histogram equalization, contrast stretch and 5x5 neighborhood averagesmoothing.
图像预处理 星形算法的图像预处理包括三步,灰度直方图均衡、对比度增强和5×5像素平滑。
A Method of Low Contrast Gray Image Enhancement and Its Performance Evaluation Based on PCNNs;
一种基于PCNN的低对比度灰度图像增强方法及其评价
