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This book covers the descriptions of the JPEG standards and gives the reader an overview of the latest advances in the standards of the Joint Photographic Experts Group.

JPEG (Image coding standard)

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Fingerprints --- JPEG (Image coding standard) --- Identification.

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Audiovisual methods --- beeldverwerking --- Artificial intelligence. Robotics. Simulation. Graphics --- JPEG (joint photographic expert group) --- JPEG (Image coding standard) --- Image compression. --- JPEG (Norme de codage d'images) --- Compression d'images --- Image compression --- jpeg --- dsp (digital signal processing) --- beeldcompressie --- digitale beeldverwerking --- Contains audio-visual material --- JPEG (Image coding standard). --- Joint Photographic Experts Group standard --- Image data compression --- Data compression (Telecommunication) --- Standards --- Jpeg (image coding standard)

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Algorithmes --- Algorithms --- Algoritmen --- JPEG (Image coding standard) --- Data compression (Telecommunication) --- Image processing --- Image compression --- Standards --- Digital techniques --- 681.3*I4 --- -Image compression --- -Image processing --- -JPEG (Image coding standard) --- 621.39 --- 621.397 --- 621.397.3 --- 681.32 --- Beeldontleding- en beeldweergave --- Data-compressie --- Digitale techniek --- JPEG --- Telecommunicatietechniek --- Televisietechniek --- Video --- Joint Photographic Experts Group standard --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Image data compression --- Compression of data (Telecommunication) --- Data compression (Computer science) --- Data transmission systems --- Algorism --- Algebra --- Arithmetic --- Image processing: image displays; image processing software (Computing methododologies) --- -Standards --- Foundations --- Algorithms. --- Standards. --- JPEG (Image coding standard). --- 681.3*I4 Image processing: image displays; image processing software (Computing methododologies) --- Data compression (Telecommunications) --- Traitement d'images --- Données --- Compression d'images --- JPEG (norme de codage d'images) --- Techniques numériques --- Normes --- Compression (télécommunications) --- Compression (télécommunication) --- Digital techniques&delete& --- Image processing - Digital techniques - Standards. --- Data compression (Telecommunication) - Standards. --- Image compression - Standards. --- Normes. --- Data compression (Telecommunication) - Standards --- Image processing - Digital techniques - Standards --- Image compression - Standards

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A huge amount of data is acquired nowadays by different remote sensing systems installed on satellites, aircrafts, and UAV. The acquired data then have to be transferred to image processing centres, stored and/or delivered to customers. In restricted scenarios, data compression is strongly desired or necessary. A wide diversity of coding methods can be used, depending on the requirements and their priority. In addition, the types and properties of images differ a lot, thus, practical implementation aspects have to be taken into account. The Special Issue paper collection taken as basis of this book touches on all of the aforementioned items to some degree, giving the reader an opportunity to learn about recent developments and research directions in the field of image compression. In particular, lossless and near-lossless compression of multi- and hyperspectral images still remains current, since such images constitute data arrays that are of extremely large size with rich information that can be retrieved from them for various applications. Another important aspect is the impact of lossless compression on image classification and segmentation, where a reasonable compromise between the characteristics of compression and the final tasks of data processing has to be achieved. The problems of data transition from UAV-based acquisition platforms, as well as the use of FPGA and neural networks, have become very important. Finally, attempts to apply compressive sensing approaches in remote sensing image processing with positive outcomes are observed. We hope that readers will find our book useful and interesting

Technology: general issues --- on-board data compression --- CCSDS 123.0-B-2 --- near-lossless hyperspectral image compression --- hyperspectral image coding --- graph filterbanks --- integer-to-integer transforms --- graph signal processing --- compact data structure --- quadtree --- k2-tree --- k2-raster --- DACs --- 3D-CALIC --- M-CALIC --- hyperspectral images --- fully convolutional network --- semantic segmentation --- spectral image --- tensor decomposition --- HEVC --- intra coding --- JPEG 2000 --- high bit-depth compression --- multispectral satellite images --- crop classification --- Landsat-8 --- Sentinel-2 --- Elias codes --- Simple9 --- Simple16 --- PForDelta --- Rice codes --- hyperspectral scenes --- hyperspectral image --- lossy compression --- real time --- FPGA --- PCA --- JPEG2000 --- EBCOT --- multispectral --- hyperspectral --- CCSDS --- FAPEC --- data compression --- transform --- hyperspectral imaging --- on-board processing --- GPU --- real-time performance --- UAV --- parallel computing --- remote sensing --- image quality --- image classification --- visual quality metrics --- spectral–spatial feature --- multispectral image compression --- partitioned extraction --- group convolution --- rate-distortion --- compressed sensing --- invertible projection --- coupled dictionary --- singular value --- task-driven learning --- on board compression --- transform coding --- learned compression --- neural networks --- variational autoencoder --- complexity --- real-time compression --- on-board compression --- real-time transmission --- UAVs --- compressive sensing --- synthetic aperture sonar --- underwater sonar imaging --- remote sensing data compression --- lossless compression --- compression impact --- computational complexity --- on-board data compression --- CCSDS 123.0-B-2 --- near-lossless hyperspectral image compression --- hyperspectral image coding --- graph filterbanks --- integer-to-integer transforms --- graph signal processing --- compact data structure --- quadtree --- k2-tree --- k2-raster --- DACs --- 3D-CALIC --- M-CALIC --- hyperspectral images --- fully convolutional network --- semantic segmentation --- spectral image --- tensor decomposition --- HEVC --- intra coding --- JPEG 2000 --- high bit-depth compression --- multispectral satellite images --- crop classification --- Landsat-8 --- Sentinel-2 --- Elias codes --- Simple9 --- Simple16 --- PForDelta --- Rice codes --- hyperspectral scenes --- hyperspectral image --- lossy compression --- real time --- FPGA --- PCA --- JPEG2000 --- EBCOT --- multispectral --- hyperspectral --- CCSDS --- FAPEC --- data compression --- transform --- hyperspectral imaging --- on-board processing --- GPU --- real-time performance --- UAV --- parallel computing --- remote sensing --- image quality --- image classification --- visual quality metrics --- spectral–spatial feature --- multispectral image compression --- partitioned extraction --- group convolution --- rate-distortion --- compressed sensing --- invertible projection --- coupled dictionary --- singular value --- task-driven learning --- on board compression --- transform coding --- learned compression --- neural networks --- variational autoencoder --- complexity --- real-time compression --- on-board compression --- real-time transmission --- UAVs --- compressive sensing --- synthetic aperture sonar --- underwater sonar imaging --- remote sensing data compression --- lossless compression --- compression impact --- computational complexity