Results 21 to 30 of about 11,899,310 (240)

Lossless Image Compression by Joint Prediction of Pixel and Context Using Duplex Neural Networks

open access: yesIEEE Access, 2021
This paper presents a new lossless image compression method based on the learning of pixel values and contexts through multilayer perceptrons (MLPs). The prediction errors and contexts obtained by MLPs are forwarded to adaptive arithmetic encoders, like ...
Hochang Rhee   +3 more
doaj   +1 more source

Lossless compression of continuous-tone images [PDF]

open access: yesProceedings of the IEEE, 2000
In this paper, we survey some of the recent advances in lossless compression of continuous-tone images. The modeling paradigms underlying the state-of-the-art algorithms, and the principles guiding their design, are discussed in a unified manner. The algorithms are described and experimentally compared.
CARPENTIERI, Bruno   +2 more
openaire   +3 more sources

Dynamic Visual Communication Image Framing of Graphic Design in a Virtual Reality Environment

open access: yesIEEE Access, 2020
This paper explores dynamic visual communication image framing for graphic design based on virtual reality algorithms; it defines corresponding feature representations by delineating layers of pixels, elements, relationships, planes, and applications ...
Zhiyong Tian
doaj   +1 more source

Backward adaptive pixel-based fast predictive motion estimation [PDF]

open access: yes, 2009
This letter presents a novel backward adaptive pixel-based fast predictive motion estimation (BAPME) scheme for lossless video compression. Unlike the widely used block-matching motion estimation techniques, this method predicts the motion on a pixel-by ...
Canagarajah, CN   +2 more
core   +1 more source

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

Lossless Compression Methods for Real-Time Images

open access: yesEurasian Journal of Science and Engineering, 2020
This paper proposes and implements two lossless methods, to compress real-time greyscale medical images, which are Huffman coding and a new lossless method called Reduced Lossless Compression Method (RLCM), both of which were tested when applying a ...
Rand B. Mohammed, Roelof van Silfhout
doaj   +1 more source

Multiband and Lossless Compression of Hyperspectral Images

open access: yesAlgorithms, 2016
Hyperspectral images are widely used in several real-life applications. In this paper, we investigate on the compression of hyperspectral images by considering different aspects, including the optimization of the computational complexity in order to allow implementations on limited hardware (i.e., hyperspectral sensors, etc.).
PIZZOLANTE, RAFFAELE, CARPENTIERI, Bruno
openaire   +5 more sources

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

On Predictive-Based Lossless Compression of Images with Higher Bit Depths [PDF]

open access: yesTelfor Journal, 2012
Due to the rapidly increasing requirements for data transmission and storage, applications for fast and efficient compression of data have a very important role. Lossless compression must be applied when data acquisition is expensive.
A. Avramović, G. Banjac
doaj  

Improved Median Edge Detection (iMED) for Lossless Image Compression

open access: yesImage Analysis and Stereology, 2023
A wide variety of applications are used in lossless image compression models, especially in medical, space, and aerial imaging domains. Predictive coding improves the performance of lossless image compression, which highly relies on entropy error.
Muhammad Shoib Amin   +4 more
doaj   +1 more source

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