[測][遙感][計] 直方圖均衡化
Then, the method of histogram equalization is used to realize the adjustment of the luminance and the contrast.
然後采用直方圖均衡的方法實現圖像的亮度調整和對比度修正；
Then, in HSI space, the method based on adaptive histogram equalization (AHE) is introduced to adjust the saturation and intensity. And then, the contrast is regulated further.
在HSI空間中，采用自適應直方圖均衡（AHE）方法實現了圖像飽和度和亮度的調整，并進一步修正了圖像的對比度。
Traditional histogram equalization and gray-scale transformation algorithms can't realize the enhancement of the target in the infrared image effectively.
傳統的直方圖均衡和灰度變換增強算法，不能針對紅外圖像的目标進行有效地增強。
Satisfied results usually can not be got when processing color images degraded by fog and mist with the conventional enhancement algorithms such as histogram equalization and homomorphic filtering.
對于薄塵霧退化的彩色圖像，用直方圖均衡和同态濾波等常規增強算法處理往往不能得到滿意的效果。
Methods: We adopt methods of image subtraction, grid interpolation and histogram equalization in order to eliminate errors induced by the optical system.
方法：分别采用圖像相減，栅格插值及直方圖均衡法消除了光學系統所産生的誤差。
The histogram equalization can enhance the contrast by redistributing the gray levels, it has the drawback that it reduces the information in the processed image.
直方圖均衡可以使圖像灰度分布接近均勻，提高圖像對比度，但圖像的信息量會有一定程度的損失。
The traditional image enhancement approaches include gray-scale transformation, histogram modification, histogram equalization, image smoothing and Wiener filtration.
傳統的圖像增強方法有灰度變換、直方圖修正、直方圖均衡、圖像平滑和維納濾波。
This paper mainly tells us the ways of image gray transformation, including linear gray transformation, nonlinear gray transformation and the approach of histogram equalization.
此文主要研究用于增強圖像的灰度變換方法，包括線性灰度變換、非線性灰度變換與直方圖均衡化方法。
The color image reinforcing which realized by grey statistics histogram equalization method has reduced the need of environment brightness in virtual photographing system.
由灰度統計直方圖均衡所實現的彩色增強處理降低了虛拟照相系統對環境照度的要求。
The method of histogram equalization is attempted to used in the sonar image, and the result is analyzed.
在圖像增強方面，嘗試了直方圖均衡化增強方法，并對其處理結果進行了分析。
The image enchancement based on histogram equalization and specification can improve the contrast details and the dynamic range of gray level of the image.
基于直方圖均衡化和規定化處理的圖像增強技術，能有效地改善圖像的對比度和灰度動态範圍。
Aiming at this problem, histogram equalization and gray stretch are used to enhance license plate image, and make the image clearer.
針對這一情況，将直方圖均衡和灰度拉伸相結合，增強牌照圖像，使圖像更加清晰。
This pa-per proposed a method which is partially overlapped local histogram equalization based on maximum entropy and brightness preserving(Local BPHEME).
本文提出了基于熵最大化和亮度保持的部分重疊的局部直方圖均衡方法（局部BPHEME）。
However, this is not the desirable property in many applications where preserving the original brightness is essential, so a new algorithm of local histogram equalization is proposed.
由于圖像增強的很多實際應用需要保持原始圖像的亮度，為此提出一種新的局部直方圖均衡算法。
This paper puts forward an improved histogram equalization algorithm based on eliminating the gray redundancy.
該文提出一種改進的消除灰度冗餘的紅外圖像直方圖均衡算法。
The region histogram equalization is different from traditional histogram modification technology, the idea is based on human vision character and edge effect in image vision.
區域間直方圖均衡不同于傳統的直方圖修正技術，該思想是充分地考慮到人類的視覺特性和邊緣在圖像視覺中的作用而提出的。
This paper develops an image enhancement algorithm of histogram equalization.
給出了一個改進的直方圖均衡化圖象增強算法。
In visual quality, the algorithm is better than the traditional unshaped mask method, histogram equalization method.
算法在視覺質量上優于傳統的反銳化掩膜法、直方圖均衡法。
The image enhanced by traditional histogram equalization is over-bright in the high gray area.
常規直方圖均衡化增強後的圖像在高灰度區有過亮的感覺。
As the traditional algorithms for local histogram equalization is used to enhance the contrast of an image, the output brightness is always regardless of the input image.
現有的局部直方圖均衡算法用于圖像的對比度增強時，輸出圖像的亮度與輸入圖像無關。
A modified algorithm of histogram equalization to gray image manipulation was discussed and actualized by analyzing principia and deficiency of the traditional algorithm of gray image.
分析了傳統灰度圖像直方圖均衡化算法的不足，讨論并實現了一種改進的直方圖均衡化圖像增強算法。
In visual quality, the algorithm is better than the traditional unshaped mask method and histogram equalization method.
算法在視覺質量上優于傳統的反銳化掩膜法、直方圖均衡法。
First, the image histogram equalization of treatment.
首先，對圖像進行直方圖均衡化處理。
Methods Based on improving of traditional histogram equalization, the proposed method adopts the minimum mean brightness error bi-histogram equalization and an effective intersected point.
方法在改進常規直方圖均衡化算法的基礎上，以最小灰度平均值誤差二元直方圖均衡化為基礎，引入另一個有效分割點。
Results Through the gray-level histogram equalization, the detail and the edge of medical digital images could be enhanced.
結果通過直方圖均衡增強能改善醫學灰階圖像的層次感，提高圖像細節的可識别性和邊緣特征。
The principium, implementation method and simulation results of FPGA -based video format conversion, median filtering and adaptive bidirectional plateau histogram equalization were given.
給出了基于FPGA的視頻格式轉換、快速中值濾波、自適應平台直方圖雙向均衡化的原理、實現方法及仿真結果。
直方圖均衡化（Histogram Equalization）是一種用于增強圖像對比度的數字圖像處理技術。其核心思想是通過重新分配圖像像素的灰度值，使輸出圖像的灰度直方圖盡可能均勻分布，從而擴大圖像的動态範圍，改善視覺效果。
灰度直方圖
表示圖像中每個灰度級出現的頻率分布。設圖像灰度級範圍為 ([0, L-1])，灰度級 (k) 的像素數量為 (n_k)，則其概率密度函數為：
$$ p_r(r_k) = frac{n_k}{N} $$
其中 (N) 為總像素數，(r_k) 為灰度級。
均衡化變換函數
通過累積分布函數（CDF）映射原始灰度級到新灰度級：
$$ s_k = T(rk) = (L-1) sum{j=0}^{k} p_r(r_j) $$
該函數将原始分布拉伸為近似均勻分布，提升對比度。
權威參考文獻：
直方圖均衡化（Histogram Equalization）是一種用于增強圖像對比度的數字圖像處理技術。它通過重新分配像素的強度值，使圖像的灰度直方圖更均勻分布，從而改善整體視覺效果。
直方圖概念
圖像的直方圖表示不同灰度級（0-255）的像素數量分布。低對比度圖像的直方圖通常集中在狹窄區域，而均衡化後直方圖會覆蓋更廣範圍。
映射函數
通過累積分布函數（CDF）将原始灰度值映射到新值。公式為：
$$
s_k = T(rk) = (L-1) sum{j=0}^{k} frac{n_j}{N}
$$
其中：
當處理結果不理想時，可采用自適應直方圖均衡化（CLAHE），該方法将圖像分塊處理并限制對比度增強幅度，從而保留更多細節。
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