Topic
Image file formats
About: Image file formats is a research topic. Over the lifetime, 10349 publications have been published within this topic receiving 102407 citations.
Papers published on a yearly basis
Papers
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TL;DR: It is proved that the metadata within a file offers the potential to include data that can be used to prove integrity, authenticity and provenance of the digital content within the file.
21 citations
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TL;DR: This study focuses on restoration of degraded images which have been blurred by known or unknown degradation function on the basis of various performance metrics like PSNR(Peak Signal to Noise Ratio), MSE(Mean Square Error) , RMSE( Root Mean Square Error).
Abstract: Image Restoration is a field of Image Processing which deals with recovering an original and sharp image from a degraded image using a mathematical degradation and restoration model. This study focuses on restoration of degraded images which have been blurred by known or unknown degradation function. On the basis of knowledge of degradation function image restoration techniques can be divided into two categories: blind and non-blind techniques. Three different image formats viz..jpg(Joint Photographic Experts Group), .png(Portable Network Graphics) and .tif(Tag Index Format) are considered for analyzing the various image restoration techniques like Deconvolution using Lucy Richardson Algorithm (DLR), Deconvolution using Weiner Filter (DWF), Deconvolution using Regularized Filter (DRF) and Blind Image Deconvolution Algorithm (BID).The analysis is done on the basis of various performance metrics like PSNR(Peak Signal to Noise Ratio), MSE(Mean Square Error) , RMSE( Root Mean Square Error).
21 citations
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27 Aug 2012TL;DR: This paper compares multiple approaches for pre-provisioning and shows that a reduction of 60% in service time is achievable, based on usage data collected from an enterprise cloud, and through simulation.
Abstract: One of the key metrics of performance in an infrastructure cloud is the speed of provisioning a virtual machine (or a virtual appliance) on request. A VM is instantiated from an image file stored in the image repository. Since the image files are large, often GigaBytes in size, transfer of the file from the repository to a compute node running the hypervisor can take time in the order of minutes. In addition to it, booting an image file can be a time consuming process if several applications are pre-installed. Use of caching to pre-fetch items that may be requested in future is known to reduce service latency. In order to overcome the delays in transfer and booting time, we prepare a VM a priori, and save it in a standby state in a "cache" space collocated with the compute nodes. On receiving a matching request, the VM from the cache is instantly served to the user, thereby reducing service time. In this paper, we compare multiple approaches for pre-provisioning and evaluate their benefits. Based on usage data collected from an enterprise cloud, and through simulation, we show that a reduction of 60% in service time is achievable.
21 citations
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01 Jul 2001TL;DR: The effects of steganography in different image formats (BMP, GIF, JPEG and DWT coded) are studied to give an answer to the questions how many bits of noise can be injected without perceptually deteriorating the quality of the image.
Abstract: In this paper, the effects of steganography in different image formats (BMP, GIF, JPEG and DWT coded) are studied. With respect to these formats, we try to give an answer to the following questions. (1) How many bits of noise (i.e. the textual secret message) can be injected without perceptually deteriorating the quality of the image? (2) How and where should one inject these bits in order to achieve the best trade-off in terms of the length of the textual message and the preserved quality of the image?.
21 citations
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07 Feb 2002TL;DR: In this article, a technique for creating an image file containing image data and attached data while ensuring the secrecy of specific data was proposed, where an image output system outputs image data generated by a digital still camera DSC (12) with a color printer (20).
Abstract: A technique for creating an image file containing image data and attached data while ensuring the secrecy of specific data. An image output system outputs image data generated by a digital still camera DSC (12) with a color printer (20). The DSC (12) encrypts image processing control data prepared by its manufacturer and creates an image file containing image data and encrypted image processing control data. The color printer (20) decrypts the image processing control data contained in the image file to apply an image processing corresponding to the image processing control data and outputs an image.
21 citations