Results 21 to 30 of about 11,907,247 (288)
Image compression with anisotropic diffusion [PDF]
, 2008 Compression is an important field of digital image processing where well-engineered methods with high performance exist. Partial differential equations (PDEs), however, have not much been explored in this context so far. In our paper we introduce a novel
Welk, Martin +19 more
core +1 more source
REMOTE SENSING IMAGE QUALITY ASSESSMENT EXPERIMENT WITH POST-PROCESSING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 This paper briefly describes the post-processing influence assessment experiment, the experiment includes three steps: the physical simulation, image processing, and image quality assessment.
W. Jiang +5 more
doaj +1 more source
Improved JPEG Coding by Filtering 8 × 8 DCT Blocks
Journal of Imaging, 2021 The JPEG format, consisting of a set of image compression techniques, is one of the most commonly used image coding standards for both lossy and lossless image encoding.
Yasir Iqbal, Oh-Jin Kwon
doaj +1 more source
IEEE Access, 2021 Enormous number of images are generated daily in all areas of life, including social media, medical and navigation images. Moreover, the development of smart phones among other specialized media-capturing devices has witnessed great advances during the ...
Mohammad Nassef, Monagi H. Alkinani
doaj +1 more source
Lossy Image Compression with Normalizing Flows
CoRR, 2020 Deep learning based image compression has recently witnessed exciting progress and in some cases even managed to surpass transform coding based approaches that have been established and refined over many decades. However, state-of-the-art solutions for deep image compression typically employ autoencoders which map the input to a lower dimensional ...
Leonhard Helminger +3 more
openaire +2 more sources
AndyWZJ/Adaptive-lossy-compression- v1.0
, 2020 Adaptive lossy compression of climate model data based on hierarchical ...
AndyWZJ
core +1 more source
Informatics Challenges—Lossy Compression in Medical Imaging [PDF]
Journal of Digital Imaging, 2014 There has been much discussion on the topic of lossy image compression within the medical imaging community, with much of the focus on the potential clinical impact and business benefits. The implications of applying irreversible lossy compression to images as it relates to informatics and management is often not considered thoroughly.
Don K. Dennison, Kinson Ho
openaire +3 more sources
Lossy Image Compression in a Preclinical Multimodal Imaging Study
Journal of Digital Imaging, 2023 AbstractThe growing use of multimodal high-resolution volumetric data in pre-clinical studies leads to challenges related to the management and handling of the large amount of these datasets. Contrarily to the clinical context, currently there are no standard guidelines to regulate the use of image compression in pre-clinical contexts as a potential ...
Francisco Cunha +9 more
openaire +3 more sources
Information Hiding in Lossy Compression Gray Scale Image [PDF]
, 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
Trudy 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