A module for visualisation and analysis of digital images in DICOM file format

A recent thread on the MSA list server about problems with image formats (in this case TIF or TIFF) showed, that there is a bit of confusion in the microscopy community about the best file format for digital images. I will try to shed a bit of light onto this problem.Digital images are at the core a large array of numbers. One number per pixel for b/w images, 3 numbers per pixel for color images. The simplest file format consists of 2 numbers that define the width and height of the image, and then just a listing of numbers for each pixel. By using the right conventions, the image can be recreated from a data file like mis. In essence, this is the format of a bitmap image (BMP), and other formats derived from it.

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Ontology of Heterogeneous Image File Formats and their Disparate Applications

International Journal of Advanced Trends in Computer Science and Engineering ◽

10.30534/ijatcse/2021/091062021 ◽

2021 ◽

Vol 10 (6) ◽

pp. 3138-3143

Keyword(s):

Digital Images ◽

File Format ◽

Image File ◽

Vector Type ◽

File Formats ◽

The World ◽

Basic Image ◽

Image File Format ◽

Image Format ◽

Image Type

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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Reduction in size of digital images: does it lead to less detectability or loss of diagnostic information?

Dentomaxillofacial Radiology ◽

10.1038/sj.dmfr.4600329 ◽

1998 ◽

Vol 27 (2) ◽

pp. 93-96 ◽

Cited By ~ 12

Author(s):

C H Versteeg ◽

G C H Sanderink ◽

S R Lobach ◽

P F van der Stelt

Keyword(s):

Digital Images ◽

Diagnostic Information

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Development of a system for craniofacial analysis from monitor-displayed digital images

Dentomaxillofacial Radiology ◽

10.1038/sj.dmfr.4600420 ◽

1999 ◽

Vol 28 (2) ◽

pp. 123-126 ◽

Cited By ~ 28

Author(s):

E Gotfredsen ◽

J Kragskov ◽

A Wenzel

Keyword(s):

Digital Images

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Authentication of Digital Image using Exif Metadata and Decoding Properties

International Journal of Scientific Research in Computer Science Engineering and Information Technology ◽

10.32628/cseit183815 ◽

2018 ◽

pp. 335-341 ◽

Cited By ~ 1

Author(s):

D. P. Gangwar ◽

Anju Pathania

Keyword(s):

Digital Image ◽

Digital Images ◽

Software Tools ◽

Robust Analysis

This work presents a robust analysis of digital images to detect the modifications/ morphing/ editing signs by using the image’s exif metadata, thumbnail, camera traces, image markers, Huffman codec and Markers, Compression signatures etc. properties. The details of the whole methodology and findings are described in the present work. The main advantage of the methodology is that the whole analysis has been done by using software/tools which are easily available in open sources.

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Selection of the efficient video data processing strategy based on the analysis of statistical digital images characteristics

Scientific journal of the Ternopil national technical university ◽

10.33108/visnyk_tntu2018.03.107 ◽

2018 ◽

Vol 91 (3) ◽

pp. 107-114

Author(s):

Mykhailo Palamar ◽

Myroslava Yavorska ◽

Mykhailo Strembitskyi ◽

Volodymyr Strembitskyi

Keyword(s):

Data Processing ◽

Digital Images ◽

Video Data ◽

Processing Strategy ◽

Efficient Video ◽

Selection Of

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I Think We’re Alone Now

Feminist Media Histories ◽

10.1525/fmh.2020.6.4.183 ◽

2020 ◽

Vol 6 (4) ◽

pp. 183-210

Author(s):

Erin Nunoda

Keyword(s):

Public Sphere ◽

Digital Images ◽

Empty Space ◽

The Public ◽

Youtube Videos ◽

The Public Sphere

This article examines YouTube videos (primarily distributed by a user named Cecil Robert) that document so-called dead malls: unpopulated, unproductive, but not necessarily demolished consumerist sites that have proliferated in the wake of the 2008 recession. These works link digital images of mall interiors with pop-song remixes so as to re-create the experience of hearing a track while standing within the empty space; manipulating the songs’ audio frequencies heightens echo effects and fosters an impression of ghostly dislocation. This article argues that these videos locate a potentiality in abandoned mall spaces for the exploration of queer (non)relations. It suggests that the videos’ emphasis on lonely, unconsummated intimacies questions circuitous visions of the public sphere, participatory dynamics online, and the presumably conservative biopolitics (both at its height and in its memorialization) of mall architecture.

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