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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24 May 1994TL;DR: In this paper, a rear attachment is provided to permit objective lens systems designated for a certain image format to be used for imaging on a smaller image format, such as a 35 mm single lens reflex camera lens.
Abstract: A rear attachment is provided to permit objective lens systems designated for a certain image format to be used for imaging on a smaller image format. Thus, a 35 mm single lens reflex camera lens can be used to create an image on a smaller format CCD array.
39 citations
01 Jan 2006
39 citations
01 Jan 2011
TL;DR: An overview of the current state-of-the-art in file carving is presented and the implementation of a file carver for fragmented multimedia files is focused on.
Abstract: File carving is a recovery technique that recovers files based on information about their structure and content without matching file system information. As files can be recovered from their content and/or file structure this technique is indispensable during digital forensics investigations. So far many approaches for the recovery of digital images have been proposed. The main contribution of this paper is a discussion of existing and new approaches for the recovery of multimedia files. After a short discussion of relevant multimedia file formats we present an overview of the current state-of-the-art in file carving. In the main part we focus on the implementation of a file carver for fragmented multimedia files. Finally, we summarize our findings and give an outlook with regard to post-processing files that have been recovered successfully.
39 citations
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08 Apr 1997
TL;DR: In this article, a method of reducing errors in optical character recognition (OCR) procedures includes digitizing an image of an object, the image containing alpha-numeric characters, and storing a bitmap of the digitized image as a scanned document file (SDF).
Abstract: A method of reducing errors in optical character recognition (OCR) procedures includes digitizing an image of an object, the image containing alpha-numeric characters, and storing a bitmap of the digitized image as a scanned document file (SDF). An OCR step is performed to obtain at least one candidate character, and an indication of the at least one candidate character is stored in a textural results file (TRF). The font of the digitized image is determined and the font is stored in a regeneration library file (RLF). A regenerated image file is generated using the TRF and the RLF. At least a portion of the regenerated image file is compared with a corresponding portion of the bitmap of the digitized image stored in the SDF. The TRF is outputted if the results of the comparison indicate a match of at least the portion of the regenerated image file with the corresponding portion of the bitmap. If a match is not found, further processing is performed to resolve the mismatch.
39 citations
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22 Jul 2002TL;DR: In this article, a unique hashing function is derived from a first section of image data contained in the JPEG compressed image in such a way that any changes subsequently made to the first image data is reflected in a different hashing function being derived from signature string is embedded into a next section of the image data.
Abstract: A system and method for authentication of JPEG image data enables the recipient to ascertain whether the received image file originated from a known identified source or whether the contents of the file have been altered in some fashion prior to receipt. A unique hashing function is derived from a first section of image data contained in the JPEG compressed image in such a way that any changes subsequently made to the first section of image data is reflected in a different hashing function being derived from a signature string is embedded into a next section of the image data. Since the embedding of a previous section's integrity checking number is done without modifying the JPEG bit stream, any JPEG decoder can thereafter properly decode the image.
39 citations