Results 21 to 30 of about 11,907,198 (242)

Information Hiding in Lossy Compression Gray Scale Image [PDF]

open access: yes, 2010
We propose an information hiding technique which based on pixels’ block. We used pixels contractive relation to hide the information that we want to embed.
Kao, Chuan-ho; 黃仁俊; Hwang, Ren-junn
core   +1 more source

New approach development for solution of cloning results detection problem in lossy saved digital image

open access: yesTrudy Odesskogo Politehničeskogo Universiteta, 2016
The problem of detection of the digital image falsification results performed by cloning is considered – one of the most often used program tools implemented in all modern graphic editors. Aim: The aim of this research is further development of approach
Алла Анатоліївна Кобозєва   +1 more
doaj   +7 more sources

HYBRID COMPRESSION OF CERVICAL IMAGES BY SEGMENTING NUCLEI-CYTOPLASM [PDF]

open access: yesICTACT Journal on Image and Video Processing, 2012
A hybrid image compression method is proposed by which the Nuclei-Cytoplasm of the image is completely restorable and the background part of the image is restorable with insignificant loss.
Y. Jacob Vetha Raj   +2 more
doaj  

IMPROVING EFFICIENCY IN IMAGE ENCRYPTION AND COMPRESSION USING PERMUTATIONS & PREDICTIONS

open access: yesICTACT Journal on Image and Video Processing, 2017
Due to rapid growth in image sizes, an alternate of numerically lossless coding named visually lossless coding is considered to reduce storage size and lower data transmission.
S Shunmugan, P Arockia Jansi Rani
doaj   +1 more source

Colour volumetric compression for realistic view synthesis applications [PDF]

open access: yes, 2011
Colour volumetric data, which is constructed from a set of multi-view images, is capable of providing realistic immersive experience. However it is not widely applicable due to its manifold increase in bandwidth.
Bull, David   +4 more
core   +1 more source

THE EFFECT OF LOSSY IMAGE COMPRESSION ON OBJECT BASED IMAGE CLASSIFICATION – WORLDVIEW-2 CASE STUDY [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012
Lossy compression is becoming increasingly used in remote sensing although its effect on the processing results has yet not been fully investigated.
A. Marsetic   +3 more
doaj   +1 more source

JPEG2000 Compatible Lossless Coding of Floating-Point Data

open access: yesEURASIP Journal on Image and Video Processing, 2007
Many scientific applications require that image data be stored in floating-point format due to the large dynamic range of the data. These applications pose a problem if the data needs to be compressed since modern image compression standards, such as ...
Bryan E. Usevitch
doaj   +2 more sources

Adjusting DICOM specifications when using wireless LANs: The MedLAN example [PDF]

open access: yes, 2003
Wireless networks will become increasingly useful in point-of-care areas such as hospitals, because of their ease of use and their flexibility. A system called MedLAN has been developed by the Central Middlesex Hospital and Brunei University to take ...
Tachakra, S, Song, YH, Banitsas, KA
core   +6 more sources

TWO-STEP PROVIDING OF DESIRED QUALITY IN LOSSY IMAGE COMPRESSION BY SPIHT

open access: yesРадіоелектронні і комп'ютерні системи, 2020
Image information technology has become an important perception technology considering the task of providing lossy image compression with the desired quality using certain encoders Recent researches have shown that the use of a two-step method can ...
Fangfang Li   +2 more
doaj   +1 more source

A novel semi-fragile forensic watermarking scheme for remote sensing images [PDF]

open access: yes, 2011
Peer-reviewedA semi-fragile watermarking scheme for multiple band images is presented. We propose to embed a mark into remote sensing images applying a tree structured vector quantization approach to the pixel signatures, instead of processing each band ...
Serra Ruiz, Jordi   +3 more
core   +1 more source

Home - About - Disclaimer - Privacy