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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
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Patent
10 Jul 2002
TL;DR: In this article, a method and apparatus for building up a database of known faces is presented. But the database of the known faces allows the names of the people captured in an image to be added to the meta-data of the image file.
Abstract: In a method and apparatus for building up a database of known faces, the database of known faces allows the names of the people captured in an image to be added to the meta-data of the image file. The digital imaging device will ask the user to identify unknown people captured in an image.

49 citations

Patent
Simon C. Chu1, Richard Alan Dayan1
12 Feb 2004
TL;DR: In this article, the authors present a method and hard disk configuration for protecting data associated with a first image file in an appliance server after the image file has been replaced with a second image file.
Abstract: The present invention discloses a method and hard disk configuration for protecting data associated with a first image file in an appliance server after the first image file has been replaced with a second image file. In a first aspect, the method of the invention includes partitioning a hard disk of the appliance server into a plurality of partitions, wherein at least one of the plurality of partitions is a hidden partition and copying the data associated with the first image file to the hidden partition, wherein the data in the hidden partition is invisible to a network operating system during normal server operation. In another aspect, the hard disk of the invention includes a first partition for storing an image file, wherein the first partition stores one image file at one time, a second partition for storing data associated with the image file, wherein the second partition is visible to a network operating system in the first partition, a hidden partition, wherein the hidden partition is invisible to the network operating system in the first partition, means for replacing a first image file in the first partition with a second image file, and means for copying the data associated with the first image file from the second partition to the hidden partition when the first image file in the first partition is replaced with the second image file.

49 citations

Proceedings ArticleDOI
22 Jun 2004
TL;DR: The proposed methods are the first examples of lossless embedding methods that preserve the file size for image formats that use lossless compression.
Abstract: In lossless watermarking, it is possible to completely remove the embedding distortion from the watermarked image and recover an exact copy of the original unwatermarked image. Lossless watermarks found applications in fragile authentication, integrity protection, and metadata embedding. It is especially important for medical and military images. Frequently, lossless embedding disproportionably increases the file size for image formats that contain lossless compression (RLE BMP, GIF, JPEG, PNG, etc...). This partially negates the advantage of embedding information as opposed to appending it. In this paper, we introduce lossless watermarking techniques that preserve the file size. The formats addressed are RLE encoded bitmaps and sequentially encoded JPEG images. The lossless embedding for the RLE BMP format is designed in such a manner to guarantee that the message extraction and original image reconstruction is insensitive to different RLE encoders, image palette reshuffling, as well as to removing or adding duplicate palette colors. The performance of both methods is demonstrated on test images by showing the capacity, distortion, and embedding rate. The proposed methods are the first examples of lossless embedding methods that preserve the file size for image formats that use lossless compression.

49 citations

Patent
Kouichi Unno1
26 Oct 1998
TL;DR: In this article, a scan request is analyzed to determine which application has issued the scan request, and it is determined whether image data obtained by scanning a document using a scanner is stored in a semiconductor memory or on a hard disk.
Abstract: A scan request is analyzed to determine which application has issued the scan request. Depending on the analysis result, it is determined whether image data obtained by scanning a document using a scanner is stored in a semiconductor memory or on a hard disk. The image data is assigned an identifier indicating the recording medium in which the image data is stored, the type of the job, the document, the image file type, and the number of pages. The image data is processed in accordance with the identifier. This allows the data to be processed by the application in an optimum manner depending on the application.

49 citations

Journal ArticleDOI
TL;DR: In this article, the authors encapsulate data-encoding DNA file sequences within impervious silica capsules that are surface labelled with single-stranded DNA barcodes, enabling random access of image files from a prototypical 2-kilobyte image database using fluorescence sorting.
Abstract: DNA is an ultrahigh-density storage medium that could meet exponentially growing worldwide demand for archival data storage if DNA synthesis costs declined sufficiently and if random access of files within exabyte-to-yottabyte-scale DNA data pools were feasible. Here, we demonstrate a path to overcome the second barrier by encapsulating data-encoding DNA file sequences within impervious silica capsules that are surface labelled with single-stranded DNA barcodes. Barcodes are chosen to represent file metadata, enabling selection of sets of files with Boolean logic directly, without use of amplification. We demonstrate random access of image files from a prototypical 2-kilobyte image database using fluorescence sorting with selection sensitivity of one in 106 files, which thereby enables one in 106N selection capability using N optical channels. Our strategy thereby offers a scalable concept for random access of archival files in large-scale molecular datasets.

49 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20238
202222
2021124
2020269
2019373
2018382