Topic
Standard test image
About: Standard test image is a research topic. Over the lifetime, 5217 publications have been published within this topic receiving 98486 citations.
Papers published on a yearly basis
Papers
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26 Jun 2002TL;DR: In this article, an image output system is described, where image data generated by a digital still camera is output with a color printer, and the color printer makes the image data to be subjected to a preset series of image processing based on the image processing control data (including the offset data) in the image file, and outputs a resulting processed image.
Abstract: In an image output system, image data generated by a digital still
camera is output with a color printer. The digital still camera stores
image processing control data preset by a maker of the digital still camera
to be changeable for each image, and a user's setting of offset data. The
image output system then generates an image file including the image
data, the image processing control data, and the offset data. The color
printer makes the image data to be subjected to a preset series of image
processing based on the image processing control data (including the offset
data) in the image file, and outputs a resulting processed image.
26 citations
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PARC1
TL;DR: An algorithm for computing an image signature, suitable for first-stage screening for duplicate images, that relies on the relative brightness of image regions, and is generally applicable to photographs, text documents, and line art is described.
Abstract: We describe an algorithm for computing an image signature, suitable for first-stage screening for duplicate images. Our signature relies on the relative brightness of image regions, and is generally applicable to photographs, text documents, and line art. We give experimental results on the sensitivity and robustness of signatures for actual image collections, and also results on the robustness of signatures under transformations such as resizing, rescanning, and compression.
26 citations
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28 Mar 1995TL;DR: Variable-rate tree-structured VQ is applied to the coefficients obtained from an orthogonal wavelet decomposition, which makes the decision not to code vectors from the higher bands based on a distortion/rate tradeoff rather than a strict thresholding criterion.
Abstract: Variable-rate tree-structured VQ is applied to the coefficients obtained from an orthogonal wavelet decomposition. After encoding a vector, we examine the spatially corresponding vectors in the higher subbands to see whether or not they are "significant", that is, above some threshold. One bit of side information is sent to the decoder to inform it of the result. When the higher bands are encoded, those vectors which were earlier marked as insignificant are not coded. An improved version of the algorithm makes the decision not to code vectors from the higher bands based on a distortion/rate tradeoff rather than a strict thresholding criterion. Results of this method on the test image "Lena" yielded a PSNR of 30.15 dB at 0.174 bits per pixel.
26 citations
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TL;DR: In this paper, a gradient-limited random phase addition method is developed to avoid excessively diffusing object information, where an image is segmented into two regions according to its frequency characteristics.
26 citations
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14 May 1984TL;DR: In this paper, a test image which is an enlarged version of a typical image to appear on the simulated display device is generated, which is then digitally processed to replicate the effects of the various parameters of the display device which affect the image.
Abstract: A video display device may be simulated using a computer and a conventional video image processor. A test image which is an enlarged version of a typical image to appear on the simulated display device is generated. This enlarged test image is then digitally processed to replicate the effects of the various parameters of the display device which affect the image. The processed signal representing the image is then displayed on a test monitor, which is viewed from a distance which is proportional to the degree of enlargement of the test image.
26 citations