The development of a clinically tested visually lossless Image compression system for capsule endoscopy

Al-Shebani, Qasim; Premaratne, Prashan; Vial, Peter James; McAndrew, Darryl J

doi:10.1016/j.image.2019.04.008

Cited by 13 publications

(5 citation statements)

References 48 publications

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“…As users increase, complexity will increase, and this increase exhibits exponential characteristics. Literature [ 12 ] because the current detection algorithm cannot meet the existing requirements, a new detection method is proposed. This method is used for the transmission of fixed and low-complexity messages on the uplink, which greatly reduces the complexity.…”

Section: Related Workmentioning

confidence: 99%

Design of Online Music Education System Based on Artificial Intelligence and Multiuser Detection Algorithm

Hua

2022

Computational Intelligence and Neuroscience

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With the development of information technology, online music education has become a mainstream education method. Especially after the outbreak of COVID-19, music teachers have to teach through online. Therefore, an online music education system that can improve the quality of teaching is particularly important. Multiuser detection algorithms and artificial intelligence have important applications in many fields, and the field of music online education is no exception. This paper takes the music teaching of the music distance teaching unit as the goal and conducts sufficient research on the educational subjects such as teachers, students, and administrators. And with the help of the SCMA system multiuser detection algorithm and artificial intelligence technology, the system analysis and design method is used to analyze and design the music teaching function system. The system module involves basic information management, student music assignments, online courses, and other levels, providing an excellent educational system design example for music online education. The conclusion analysis shows that the music online education system based on SCMA system multiuser detection algorithm and artificial intelligence designed in this paper can significantly improve the audience’s music learning efficiency and has obvious benefits to the student group.

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Section: Related Workmentioning

confidence: 99%

Design of Online Music Education System Based on Artificial Intelligence and Multiuser Detection Algorithm

Hua

2022

Computational Intelligence and Neuroscience

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“…3 This work. 4 Software implementations running in Raspberry 3B, with a single thread. 5 Standard-compliant JPEG-LS implementation.…”

Section: Related Workmentioning

confidence: 99%

“…Satellite image acquisition is a prominent application of these systems, which have pushed the development of many algorithms and hardware implementations [1,2]. Additionally, we can find medical applications such as capsule endoscopy [3][4][5][6][7] or portable image devices [8].…”

Section: Introductionmentioning

confidence: 99%

An FPGA-Based LOCO-ANS Implementation for Lossless and Near-Lossless Image Compression Using High-Level Synthesis

2021

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In this work, we present and evaluate a hardware architecture for the LOCO-ANS (Low Complexity Lossless Compression with Asymmetric Numeral Systems) lossless and near-lossless image compressor, which is based on JPEG-LS standard. The design is implemented in two FPGA generations, evaluating its performance for different codec configurations. The tests show that the design is capable of up to 40.5 MPixels/s and 124 MPixels/s per lane for Zynq 7020 and UltraScale+ FPGAs, respectively. Compared to the single thread LOCO-ANS software implementation running in a 1.2 GHz Raspberry Pi 3B, each hardware lane achieves 6.5 times higher throughput, even when implemented in an older and cost-optimized chip like the Zynq 7020. Results are also presented for a lossless only version, which achieves a lower footprint and approximately 50% higher performance than the version that supports both lossless and near-lossless. Interestingly, these great results were obtained applying High-Level Synthesis, describing the coder with C++ code, which tends to establish a trade-off between design time and quality of results. These results show that the algorithm is very suitable for hardware implementation. Moreover, the implemented system is faster and achieves higher compression than the best previously available near-lossless JPEG-LS hardware implementation.

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“…This has led to studies intended on the design of appropriate techniques (see Foos et al, 1999;Wu et al, 2003;Fidler and Likar, 2007;Kim et al, 2010;Georgiev et al, 2013;Al-Shebani et al, 2019;Ye et al, 2019 and references therein). The influence of lossy compression on image diagnostic properties has been investigated (Eraso et al, 2002;Lehmann et al, 2006;Braunschweig et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Intelligent visually lossless compression of dental images

Kryvenko,

Krylova,

Lukin

et al. 2024

Adv. Opt. Technol.

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Background: Tendencies to increase the mean size of dental images and the number of images acquired daily makes necessary their compression for efficient storage and transferring via communication lines in telemedicine and other applications. To be a proper solution, lossy compression techniques have to provide a visually lossless option (mode) where a desired quality (invisibility of introduced distortions for preserving diagnostically valuable information) is ensured quickly and reliably simultaneously with a rather large compression ratio.Objective: Within such an approach, our goal is to give answers to several practical questions such as what encoder to use, how to set its parameter that controls compression, how to verify that we have reached our ultimate goal, what are additional advantages and drawbacks of a given coder, and so on.Methods: We analyze the performance characteristics of several encoders mainly based on discrete cosine transform for a set of 512 × 512 pixel fragments of larger size dental images produced by Morita and Dentsply Sirona imaging systems. To control the visual quality of compressed images and the invisibility of introduced distortions, we have used modern visual quality metrics and distortion invisibility thresholds established for them in previous experiments. Besides, we have also studied the so-called just noticeable distortions (JND) concept, namely, the approach based on the first JND point when the difference between an image subject to compression and its compressed version starts to appear.Results: The rate-distortion dependences and coder setting parameters obtained for the considered approaches are compared. The values of the parameters that control compression (PCC) have been determined. The ranges of the provided values of compression ratio have been estimated and compared. It is shown that the provided CR values vary from about 20 to almost 70 for modern coders and almost noise-free images that is significantly better than for JPEG. For images with visible noise, the minimal and maximal values of produced CR are smaller than for the almost noise-free images. We also present the results of the verification of compressed image quality by specialists (professional dentists).Conclusion: It is shown that it is possible and easy to carry out visually lossless compression of dental images using the proposed approaches with providing quite high compression ratios without loss of data diagnostic value.

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The development of a clinically tested visually lossless Image compression system for capsule endoscopy

Cited by 13 publications

References 48 publications

Design of Online Music Education System Based on Artificial Intelligence and Multiuser Detection Algorithm

Design of Online Music Education System Based on Artificial Intelligence and Multiuser Detection Algorithm

An FPGA-Based LOCO-ANS Implementation for Lossless and Near-Lossless Image Compression Using High-Level Synthesis

Intelligent visually lossless compression of dental images

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