Competency assessment of image compression in the lossy and lossless domain

Panda, Devee Darshani; Swain, Debabala

doi:10.1109/iciip.2017.8313769

Cited by 3 publications

(2 citation statements)

References 4 publications

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“…Therefore, to transmit this image via conventional phone lines with speed range of 56 Kilobits per second, it consumes more than one second [9]. For this reason, image compression is important to provide an efficient data storage and data transmission [10][11][12]. In general, the purpose of image compression is to reduce the size and blocking artifact of original image without degrading the quality of the image.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Moreover, compressing medical image is more challenging compared to non-medical image. This is because for medical images, the compression algorithms are complex and it should always be stored in lossless format even though sometimes lossy format is acceptable [10,12]. In addition, medical images are extremely rich with information contents.…”

Section: Literature Reviewmentioning

confidence: 99%

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Pipeline architectures of Three-dimensional daubechies wavelet transform using hybrid method

Ja’afar

Ahmad

2019

IJEECS

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<span>The application of three-dimensional (3-D) medical image compression systems uses several building blocks for its computationally intensive algorithms to perform matrix transformation operations. Complexity in addressing large medical volumes data has resulted in vast challenges from a hardware implementation perspective. This paper presents an approach towards very-large-scale-integration (VLSI) implementation of 3-D Daubechies wavelet transform for medical image compression. Discrete wavelet transform (DWT) algorithm is used to design the proposed architectures with pipelined direct mapping technique. Hybrid method use a combination of hardware description language (HDL) and G-code, where this method provides an advantage compared to traditional method. The proposed pipelined architectures are deployed for adaptive transformation process of medical image compression applications. The soft IP core design was targeted on to Xilinx field programmable gate array (FPGA) single board RIO (sbRIO 9632). Results obtained for 3-D DWT architecture using Daubechies 4-tap (Daub4) implementation exhibits promising results in terms of area, power consumption and maximum frequency compared to Daubechies 6-tap (Daub6).</span>

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Pipeline architectures of Three-dimensional daubechies wavelet transform using hybrid method

Ja’afar

Ahmad

2019

IJEECS

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Video compression based on zig-zag 3D DCT and run-length encoding for multimedia communication systems

Chutke

N.M.

Lendale

2022

IJPCC

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Purpose With the advent of technology, a huge amount of data is being transmitted and received through the internet. Large bandwidth and storage are required for the exchange of data and storage, respectively. Hence, compression of the data which is to be transmitted over the channel is unavoidable. The main purpose of the proposed system is to use the bandwidth effectively. The videos are compressed at the transmitter’s end and reconstructed at the receiver’s end. Compression techniques even help for smaller storage requirements. Design/methodology/approach The paper proposes a novel compression technique for three-dimensional (3D) videos using a zig-zag 3D discrete cosine transform. The method operates a 3D discrete cosine transform on the videos, followed by a zig-zag scanning process. Finally, to convert the data into a single bit stream for transmission, a run-length encoding technique is used. The videos are reconstructed by using the inverse 3D discrete cosine transform, inverse zig-zag scanning (quantization) and inverse run length coding techniques. The proposed method is simple and reduces the complexity of the convolutional techniques. Findings Coding reduction, code word reduction, peak signal to noise ratio (PSNR), mean square error, compression percent and compression ratio values are calculated, and the dominance of the proposed method over the convolutional methods is seen. Originality/value With zig-zag quantization and run length encoding using 3D discrete cosine transform for 3D video compression, gives compression up to 90% with a PSNR of 41.98 dB. The proposed method can be used in multimedia applications where bandwidth, storage and data expenses are the major issues.

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A Study on Medical Image Compression Techniques based on Huffman Coding and Discrete Wavelet Transform (DWT)

Mydin

Alkawaz

Ghafoor³

et al. 2021

2021 IEEE 9th Conference on Systems, Process and Control (ICSPC 2021)

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Competency assessment of image compression in the lossy and lossless domain

Cited by 3 publications

References 4 publications

Pipeline architectures of Three-dimensional daubechies wavelet transform using hybrid method

Pipeline architectures of Three-dimensional daubechies wavelet transform using hybrid method

Video compression based on zig-zag 3D DCT and run-length encoding for multimedia communication systems

A Study on Medical Image Compression Techniques based on Huffman Coding and Discrete Wavelet Transform (DWT)

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