Results 11 to 20 of about 1,429 (153)

Copying and Recreation Methods of Painting Works Relying on Mobile Digital Multimedia Big Data Analysis [PDF]

open access: yesComputational Intelligence and Neuroscience, Volume 2022, Issue 1, 2022., 2022
In order to improve the effect of copying and recreation of painting works, this paper combines mobile digital multimedia big data technology to improve the image coding algorithm, identify the characteristics of existing works, apply the algorithm to the detailed analysis of painting works, and construct the main functional structure modules of the ...
Li Xue, Chuangjian Yang, Qiangyi Li
wiley   +2 more sources

IntOPMICM: Intelligent Medical Image Size Reduction Model [PDF]

open access: yesJournal of Healthcare Engineering, Volume 2022, Issue 1, 2022., 2022
Due to the increasing number of medical imaging images being utilized for the diagnosis and treatment of diseases, lossy or improper image compression has become more prevalent in recent years. The compression ratio and image quality, which are commonly quantified by PSNR values, are used to evaluate the performance of the lossy compression algorithm ...
Piyush Kumar Pareek   +7 more
wiley   +2 more sources

Speech Technology Progress Based on New Machine Learning Paradigm [PDF]

open access: yesComputational Intelligence and Neuroscience, Volume 2019, Issue 1, 2019., 2019
Speech technologies have been developed for decades as a typical signal processing area, while the last decade has brought a huge progress based on new machine learning paradigms. Owing not only to their intrinsic complexity but also to their relation with cognitive sciences, speech technologies are now viewed as a prime example of interdisciplinary ...
Vlado Delić   +9 more
wiley   +2 more sources

Lossy Infrared Image Compression Based on Wavelet Coefficient Probability Modeling and Run-Length-Enhanced Huffman Coding [PDF]

open access: yesSensors
Infrared line-scanning images have high redundancy and large file sizes. In JPEG2000 compression, the MQ arithmetic encoder’s complexity slows down processing. Huffman coding can achieve O(1) complexity based on a code table, but its integer-bit encoding
Yaohua Zhu   +5 more
doaj   +2 more sources

A Data Compression Method for Wellbore Stability Monitoring Based on Deep Autoencoder [PDF]

open access: yesSensors
The compression method for wellbore trajectory data is crucial for monitoring wellbore stability. However, classical methods like methods based on Huffman coding, compressed sensing, and Differential Pulse Code Modulation (DPCM) suffer from low real-time
Shan Song   +3 more
doaj   +2 more sources

Simultaneous storage of medical images in the spatial and frequency domain: A comparative study [PDF]

open access: yesBioMedical Engineering OnLine, 2004
Background Digital watermarking is a technique of hiding specific identification data for copyright authentication. This technique is adapted here for interleaving patient information with medical images, to reduce storage and transmission overheads ...
Acharya U Rajendra   +3 more
doaj   +2 more sources

LL‐FMC: Low‐latency frame memory compression scheme with high reconstructed quality

open access: yesElectronics Letters, Volume 59, Issue 14, July 2023., 2023
This study proposes a Huffman coding with a fixed codebook designed to considerably reduce the latency caused by arithmetic coding in lossless compression schemes. This study also proposes a novel lossy frame memory compression technique based on the Hadamard transform that does not require additional memory access using a lookup table.
Jin Shin, Jong Ho Lee, Hyun Kim
wiley   +1 more source

Walk‐to‐Charge Technology: Exploring Efficient Energy Harvesting Solutions for Smart Electronics

open access: yesJournal of Sensors, Volume 2023, Issue 1, 2023., 2023
Wearable sensors offer great potential in sports, fitness, and medicine. However, their limited battery life poses a major obstacle to their widespread use. This paper explores various energy solutions to extend the battery life of wearable sensors. The first part of the paper focuses on hardware improvements for wearable sensors, such as employing low‐
Ruby Beniwal   +6 more
wiley   +1 more source

Improve Performances of Wireless Sensor Networks for Data Transfer Based on Fuzzy Clustering and Huffman Compression

open access: yesJournal of Sensors, Volume 2022, Issue 1, 2022., 2022
In today’s world, the main challenge is to save use energy optimally. The IoT devices generate a large amount of data for wide applications. Considering the application perspective in the IoT market, in one instance of the IoT technology, that is a wireless sensor network, factors like energy, storage capacity, computation power, and limitations of ...
Ali Mohammad Norouzzadeh Gil Molk   +4 more
wiley   +1 more source

Fast and efficient lossless encoder in image compression with low computation and low memory

open access: yesIET Image Processing, Volume 15, Issue 11, Page 2494-2507, September 2021., 2021
Abstract This research focuses on frequency‐based lossless new encoding technique with low computation and low memory scheme. This encoding technique doesn't require, any table similar to Huffman and Golomb Rice encoder, and doesn't take high computation time like an arithmetic encoder.
N. Karthikeyan   +2 more
wiley   +1 more source

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