Zobrazeno 1 - 10
of 249
pro vyhledávání: '"compression artifacts"'
Publikováno v:
IEEE Access, Vol 12, Pp 120316-120325 (2024)
The Joint Video Experts Team (JVET) has explored neural network-based video coding (NNVC) and is trying to introduce NNVC into the versatile video coding (VVC). In NNVC, the NN-based in-loop filter is the most active area, which is very close to depl
Externí odkaz:
https://doaj.org/article/e05b40c381f34968bcf7c86a54eab4e2
Autor:
Sonain Jamil
Publikováno v:
Journal of Imaging, Vol 10, Iss 5, p 113 (2024)
The compression of images for efficient storage and transmission is crucial in handling large data volumes. Lossy image compression reduces storage needs but introduces perceptible distortions affected by content, compression levels, and display envi
Externí odkaz:
https://doaj.org/article/1c367c83d02b4ed8ad2d542afdbc0a47
Akademický článek
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Publikováno v:
Acoustics, Vol 4, Iss 3, Pp 704-719 (2022)
MPEG-1 Layer 3 (MP3) is one of the most popular compression formats used for sound and especially for music. However, during the coding process, the MP3 algorithm negatively affects the spectral and dynamic characteristics of the audio file being com
Externí odkaz:
https://doaj.org/article/7f5ef5c1bf8f4a14ba00bf25aa9803bf
Akademický článek
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Publikováno v:
Sensors, Vol 23, Iss 9, p 4511 (2023)
Video compression algorithms are commonly used to reduce the number of bits required to represent a video with a high compression ratio. However, this can result in the loss of content details and visual artifacts that affect the overall quality of t
Externí odkaz:
https://doaj.org/article/ffd2a960d36e480da59c58ad508ccdf5
Publikováno v:
IEEE Access, Vol 9, Pp 66176-66187 (2021)
Lossy video compression achieves coding gains at the expense of the quality loss of the decoded images. Owing to the success of deep learning techniques, especially convolutional neural networks (CNNs), many compression artifacts reduction (CAR) tech
Externí odkaz:
https://doaj.org/article/81716f1ba2504cef8c44e8614bd22816
Autor:
Chothmal Kumawat, Vinod Pankajakshan
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 2, Pp 280-294 (2021)
Identification of decompressed JPEG images, especially those compressed with high JPEG quality factors, is a challenging issue in image forensics. Furthermore, the applicability of the existing JPEG forensic detectors in forgery localization is limit
Externí odkaz:
https://doaj.org/article/a126fb3682df4f39927df4afa5021e5f
Publikováno v:
IEEE Access, Vol 9, Pp 90881-90895 (2021)
Image restoration based on the Deep Convolutional Neural Network (CNN) based image restoration has demonstrated promising results in many sub-tasks, such as image super-resolution, compression artifacts removal, image denoising, and image enhancement
Externí odkaz:
https://doaj.org/article/f47fe0e40ce04b7ab313b3cefe214141
Publikováno v:
IEEE Access, Vol 9, Pp 137824-137832 (2021)
Several recent studies have attempted to fully replace the conventional camera image signal processing (ISP) pipeline with convolutional neural networks (CNNs). However, the previous CNN-based ISPs, simply referred to as ISP-Nets, have not explicitly
Externí odkaz:
https://doaj.org/article/5e661c70470744aaa96ab4d3d7c8cd22