图象阵列的均方根误差英文解释翻译、图象阵列的均方根误差的近义词、反义词、例句
英语翻译：
【计】 rms error averaged over an image array
分词翻译：
图象阵列的英语翻译：
【计】 image array均方根误差的英语翻译：
【化】 root-mean-square error网络扩展解释
图像阵列的均方根误差 (Túxiàng zhènliè de jūnfānggēn wùchā)
图象阵列的均方根误差是指在图像处理中，通过对图像像素进行分析和比较，计算并评估图像中各像素值的平均偏差的一种指标。
英语解释翻译 (Yīngyǔ jiěshì fānyì)
The root mean square error of image array.
英文读音 (Yīngwén dúyīn)
[ruːt miːn skweər eərər ɒv ˈɪmɪdʒ əˈreɪ]
英文的用法 (Zhèngfǎ de yòngfǎ)
In image processing, the root mean square error of image array is used as a criterion to calculate and evaluate the average deviation of pixel values in an image by analyzing and comparing the pixels.
英文例句 (Bāohán zhōngwén jiěshì)
For image quality assessment, the root mean square error is commonly used to measure the difference between the processed image and the original image.
在图像质量评估中，常用均方根误差来衡量处理后的图像与原始图像之间的差异。
英文近义词 (Bāohán zhōngwén jiěshì)
- Mean Square Error (MSE): Similar to root mean square error, it is a measure of the average squared difference between the estimated values and the true values in image processing. - Mean Absolute Error (MAE): Measures the average absolute difference between the estimated and true values in image processing.
- 均方误差 (jūnfāng wùchā): 与均方根误差类似，它是图像处理中估算值与真实值之间平方差的平均值的衡量指标。 - 平均绝对误差 (píngjūn juéduì wùchā): 衡量图像处理中估算值与真实值之间的平均绝对差异。
英文反义词 (Bāohán zhōngwén jiěshì)
- Peak Signal-to-Noise Ratio (PSNR): Measures the ratio between the maximum power of a signal and the power of corrupting noise, providing a measure of image quality. It is the inverse of root mean square error. - Structural Similarity Index (SSIM): Measures the similarity between two images, taking into account structural information and human perception.
- 峰值信噪比 (fēngzhí xìn-zào bǐ): 衡量信号最大功率与扰动噪声功率之比，提供了图像质量的一个指标，是均方根误差的倒数。 - 结构相似性指数 (jiégòu xiāngsìxìng zhǐshù): 衡量两幅图像之间的相似度，考虑了图像的结构信息和人的感知。
英文单词常用度 (Yīngwén dāncí chángyòng dù)
The root mean square error is commonly used in the field of image processing and computer vision, and it is a fundamental measure of image quality. Therefore, it is widely encountered and recognized by researchers, engineers, and professionals in the related domains.
均方根误差在图像处理和计算机视觉领域中被广泛应用，并且是图像质量的基本衡量指标。因此，它在相关领域的研究人员、工程师和专业人士中广为接触和认可。