Ontology of Heterogeneous Image File Formats and their Disparate Applications

Different image formats are available in the world today which are used for various purposes, this paper elaborates the Ontology of different Image File Formats and their various applications. Digital images are saved in various Image File Formats which have different properties and features which are ideal for a particular use. A digital image is primarily classified into two types, raster or vector type. Image format elucidate how the information in the image will be stored. Image file format is a systematic way of storing and arranging digital images. Image file format can store data in compressed format (which may be lossy or lossless), uncompressed format or a vector format. Some Image format are suitable for a particular purpose while some are not. TIFF Image type is good for printing whereas PNG or JPG, are best for web. Analysis of the basic Image File Format have been carried out practically and the result is displayed in the coming section

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ITK Mesh IO Framework

The Insight Journal ◽

10.54294/mu3c43 ◽

2010 ◽

Author(s):

Wanlin Zhu

Keyword(s):

File Format ◽

Reading And Writing ◽

Image File ◽

File Formats ◽

Different Types ◽

Image File Format ◽

The Moment

ITK has a powerful and flexible image IO framework. Reading and writing different types of image file is straightforward. The image IO could be easily extended by writing a specific image IO class for a new image file format. Whereas, there is no such framework for easily reading and writing itk::Mesh/itk::QuadEdgeMesh, At the moment, only a few specific classes to read vtk polydata format and is not easily to be extended. This paper describes our contribution to itk for providing a mesh IO framework which could be used for reading and writing some commonly used mesh file formats. The mesh IO classes worked well for both itk::Mesh and itk::QuadEdgeMesh.

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Use of Image File Format WebP on Websites in Croatian top Domains

10.23919/mipro52101.2021.9596819 ◽

2021 ◽

Author(s):

Tomislav Jakopec ◽

Zeljana Hrkac

Keyword(s):

File Format ◽

Image File ◽

Image File Format

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HEVC still image coding and high efficiency image file format

2016 IEEE International Conference on Image Processing (ICIP) ◽

10.1109/icip.2016.7532321 ◽

2016 ◽

Cited By ~ 7

Author(s):

Jani Lainema ◽

Miska M. Hannuksela ◽

Vinod K. Malamal Vadakital ◽

Emre B. Aksu

Keyword(s):

Image Coding ◽

High Efficiency ◽

File Format ◽

Still Image ◽

Image File ◽

Image File Format

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A Streaming IO Base Class and Support for Streaming the MRC and VTK File Format

The Insight Journal ◽

10.54294/ufs19w ◽

2010 ◽

Author(s):

Bradley Lowekamp ◽

David Chen

Keyword(s):

File Format ◽

Image File ◽

File Formats

This paper describes our contribution of three new classes to the Insight Toolkit community. We present a new ImageIO base class for streaming image file, along with two derived ImageIO classes for the VTK and the MRC file formats.

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Quantitative Image Format for Electron Microscopy

Microscopy and Microanalysis ◽

10.1017/s1431927620017225 ◽

2020 ◽

Vol 26 (S2) ◽

pp. 1176-1178

Author(s):

Grigore Moldovan ◽

Michael Zabel

Keyword(s):

Electron Microscopy ◽

Experimental Data ◽

Quantitative Data ◽

Data Simulation ◽

Simulation Data ◽

Image File ◽

File Formats ◽

Quantitative Image ◽

Image Format ◽

Calibration Parameters

AbstractExperimental data, simulation, data analysis and visualisation require image file formats that are open source and able to contain and manage quantitative data. Quantification techniques bring the new challenge of managing image calibration parameters and formulas in an open and efficient format, compatible with routine microscopy workflows. A practical approach to quantitative image format is presented and discussed here, relying on open and extensible file formats - Tagged Image File (TIF) and Extensible Metadata Platform (XMP).

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