High-Performance 1-D and 2-D Inverse DWT 5/3 Filter Architectures for Efficient Hardware Implementation

Savić, Goran; Prokin, Milan; Rajović, Vladimir; Prokin, Dragana

doi:10.1007/s00034-016-0477-2

Cited by 6 publications

(2 citation statements)

References 27 publications

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“…and represent the approximation subband and the detail subband, respectively. For a two-dimensional DWT (abbreviated as 2D-DWT) [22], suppose the image is symbolized as ( , ), and there are four subbands in all after each decomposition ( , ,…”

Section: Wavelet Decompositionmentioning

confidence: 99%

Identification of Alcoholism Based on Wavelet Renyi Entropy and Three‐Segment Encoded Jaya Algorithm

Wang

Muhammad

et al. 2018

Complexity

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The alcohol use disorder (AUD) is an important brain disease, which could cause the damage and alteration of brain structure. The current diagnosis of AUD is mainly done manually by radiologists. This study proposes a novel computer-vision-based method for automatic detection of AUD based on wavelet Renyi entropy and three-segment encoded Jaya algorithm from MRI scans. The wavelet Renyi entropy is proposed to provide multiresolution and multiscale analysis of features, describe the complexity of the brain structure, and extract the distinctive features. Grid search method was used to select the optimal wavelet decomposition level and Renyi order. The classifier was constructed based on feedforward neural network and a three-segment encoded (TSE) Jaya algorithm providing parameter-free training of the weights, biases, and number of hidden neurons. We have conducted the experimental evaluation on 235 subjects (114 are AUDs and 121 healthy). -fold cross validation has been used to avoid overfitting and report out-of-sample errors. The results showed that the proposed method outperforms four state-of-the-art approaches in terms of accuracy. The proposed TSE-Jaya provides a better performance, compared to the conventional approaches including plain Jaya, multiobjective genetic algorithm, particle swarm optimization, bee colony optimization, modified ant colony system, and real-coded biogeography-based optimization.

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Section: Wavelet Decompositionmentioning

confidence: 99%

Identification of Alcoholism Based on Wavelet Renyi Entropy and Three‐Segment Encoded Jaya Algorithm

Wang

Muhammad

et al. 2018

Complexity

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“…The most efficient hardware architectures of the 1-D DWT and 2-D DWT are described in [ 28 ] and [ 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 ]. The concept of the proposed 2-D DWT with 5/3 filters and its hardware architecture are presented in [ 61 , 62 , 63 ].…”

Section: Introductionmentioning

confidence: 99%

Digital Image Decoder for Efficient Hardware Implementation

Savić

Prokin

Rajović

et al. 2022

Sensors

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Increasing the resolution of digital images and the frame rate of video sequences leads to an increase in the amount of required logical and memory resources necessary for digital image and video decompression. Therefore, the development of new hardware architectures for digital image decoder with a reduced amount of utilized logical and memory resources become a necessity. In this paper, a digital image decoder for efficient hardware implementation, has been presented. Each block of the proposed digital image decoder has been described. Entropy decoder, decoding probability estimator, dequantizer and inverse subband transformer (parts of the digital image decoder) have been developed in such way which allows efficient hardware implementation with reduced amount of utilized logic and memory resources. It has been shown that proposed hardware realization of inverse subband transformer requires 20% lower memory capacity and uses less logic resources compared with the best state-of-the-art realizations. The proposed digital image decoder has been implemented in a low-cost FPGA device and it has been shown that it requires at least 32% less memory resources in comparison to the other state-of-the-art decoders which can process high-definition frame size. The proposed solution also requires effectively lower memory size than state-of-the-art architectures which process frame size or tile size smaller than high-definition size. The presented digital image decoder has maximum operating frequency comparable with the highest maximum operating frequencies among the state-of-the-art solutions.

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An Efficient Architecture for Modified Lifting-Based Discrete Wavelet Transform

Pinto¹,

Shama

2020

Sens Imaging

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High-Performance 1-D and 2-D Inverse DWT 5/3 Filter Architectures for Efficient Hardware Implementation

Cited by 6 publications

References 27 publications

Identification of Alcoholism Based on Wavelet Renyi Entropy and Three‐Segment Encoded Jaya Algorithm

Identification of Alcoholism Based on Wavelet Renyi Entropy and Three‐Segment Encoded Jaya Algorithm

Digital Image Decoder for Efficient Hardware Implementation

An Efficient Architecture for Modified Lifting-Based Discrete Wavelet Transform

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