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The Imatest program: comparing cameras with different amounts of sharpening

机译:Imatest程序:比较不同锐化程度的相机

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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Imatest程序是为了使摄影师和成像系统开发人员可以方便地测量照相机,镜头和打印机中的关键图像质量因素。对于相机和镜头,这些因素包括清晰度(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,镜头失真,光衰减(渐晕)和横向色差。对于打印机,它们包括色调响应,Dmax(最大可复制的黑色密度),颜色响应和色域。尽管某些测量遵循ISO标准,但重点是简单,方便且价格合理。我们从Imatest的概述开始,简要描述每个模块。然后,我们将重点放在比较不同锐化程度的相机的问题上。在紧凑型数码相机中常见的过度锐化会导致边缘附近出现“光晕”,使小尺寸的照片看起来不错,但在大倍率下可能会令人反感。它还会导致MTF测量结果过大。大多数数字单镜头反光相机(DSLR)的锐度很少,在MTF比较中处于劣势。 Imatest使用一种称为标准化锐化的算法,该算法通过添加或删除锐化以使边缘过冲相对一致,从而简化了相机之间的比较。本算法调整锐化量,以使奈奎斯特频率的0.3倍的MTF等于低空间频率的MTF。由于摄像机边缘响应的种类繁多,因此确定最佳锐化半径R可能具有挑战性。我们讨论了选择R时的注意事项和锐化量的限制,这使得很难找到适合所有相机的独特解决方案-嘈杂的紧凑型数码相机和低噪的数码SLR。

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