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The Imatest program: comparing cameras with different amounts of sharpening

机译:IMATEST程序:将相机与不同量的锐化进行比较

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The Imatest program was developed to enable photographers and imaging system developers to conveniently measure the key image quality factors in cameras, lenses, and printers. For cameras and lenses these factors include sharpness (measured by MTF), noise, dynamic range, tonal response (OECF curve), color and exposure accuracy, lens distortion, light falloff (vignetting), and lateral chromatic aberration. For printers they include tonal response, Dmax (the maximum reproducible black density), color response, and color gamut. Although some measurements follow ISO standards, emphasis is on simple, convenient, and affordable measurements. We begin with an overview of Imatest, briefly describing each module. Then we focus on the issue of comparing cameras with different degrees of sharpening. Oversharpening, which is common in compact digital cameras, results "halos" near edges that make small prints look good but can be objectionable at large magnifications. It also results in exaggerated MTF measurements. Most digital single-lens reflex cameras (DSLRs) have little sharpening, putting them at a disadvantage in MTF comparisons. Imatest uses an algorithm called standardized sharpening that facilitates comparisons between cameras by adding or removing sharpening to make edge overshoot relatively consistent. The present algorithm adjusts the sharpening amount so that MTF at 0.3 times the Nyquist frequency is equal to MTF at low spatial frequencies. Determining the optimum sharpening radius R can be challenging because of the large variety of camera edge responses. We discuss considerations in selecting R and constraints on the sharpening amount that make it difficult to find a unique solution that fits all cameras—noisy compacts as well as low-noise digital SLRs.
机译:开发了IMATEST程序以使摄影师和成像系统开发人员能够方便地测量相机,镜头和打印机的关键图像质量因素。对于摄像机和镜头,这些因素包括锐度(通过MTF测量),噪声,动态范围,色调响应(OECF曲线),颜色和曝光精度,透镜失真,光衰落(渐晕)和横向色差。对于打印机,它们包括色调响应,Dmax(最大可重复的黑色密度),颜色响应和色域。虽然一些测量遵循ISO标准,但重点是简单,方便,实惠的测量。我们首先概述了IMATEST,简要介绍了每个模块。然后我们专注于将相机与不同程度的锐化进行比较。过时,这是常见的压缩数码相机,结果靠近边缘的“晕圈”,使小印刷品看起来很好,但可以在大放大率下令人反感。它还导致夸大的MTF测量。大多数数字单镜头反射摄像头(DSLR)锐化一点,将它们放在MTF比较中的劣势。 IMATEST使用称为标准化锐化的算法,通过添加或移除锐化来使相机之间的比较促进相机以使边缘过冲相对一致。本算法调整锐化量,使得奈奎斯特频率为0.3倍的MTF在低空间频率下等于MTF。确定最佳锐化半径R可能是具有挑战性的,因为各种相机边缘响应。我们讨论在选择R和限制的考虑因素,使得难以找到适合所有相机噪声的独特解决方案以及低噪声数字SLR。

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