Effectiveness of the fractal dimension based classification methods for fractal compression of medical images

Biswas, Amit Kumar; Karmakar, S.; Sharma, Sanjay Kumar

doi:10.1109/icpc2t48082.2020.9071440

Cited by 3 publications

(1 citation statement)

References 18 publications

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“…Discrete Wavelet Transform atau DWT merupakan teknik yang mendekomposisi citra pada frekuensi subband citra tersebut [10]. Berdasarkan penelitian [6] menggunakan sistem SC-FDMA berbasis DWT untuk megurangi noise dan interferensi pada sistem komunikasi nirkabel.…”

Section: Pendahuluanunclassified

Analisis Kinerja Kompresi Citra DWT Dan Fraktal Pada Transmisi Citra Dengan Sistem Sc-Fdma

2022

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Perkembangan teknologi telekomunikasi memliki peranan penting dalam kecepatan proses pengiriman citra. SC-FDMA merupakan teknologi akses jamak dengan teknik single carrier yang membagi bandwidth kanal dan memiliki keunggulan nilai PAPR yang rendah. Namun ukuran file citra yang besar akan menjadi masalah pada media penyimpanan maka diperlukan adanya kompresi. Kompresi DWT dan Fraktal merupakan salah satu kompresi lossy yang dapat mengecilkan ukuran citra. Penelitian ini bertujuan untuk mebandingkan kinerja antara kompresi DWT dan Fraktal menggunakan sistem SC-FDMA. Penelitian dijalankan melalui modulasi QPSK, 16-QAM, dan 64-QAM dengan parameter PSNR, SSIM, dan waktu transmisi . Berdasarkan hasil pengujian diketahui bahwa metode DWT dengan nilai PSNR 41,8594 dB menghasilkan kualitas citra yang lebih baik daripada metode Fraktal dengan nilai PSNR 30,5940 dB. Sedangkan kinerja waktu transmisi dari kompresi Fraktal lebih baik dengan waktu rata-rata 9,8274 detik daripada kompresi DWT dengan waktu 13,1121 detik.

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Section: Pendahuluanunclassified

Analisis Kinerja Kompresi Citra DWT Dan Fraktal Pada Transmisi Citra Dengan Sistem Sc-Fdma

2022

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An IoT-Cloud Based Fractal Model for Brain Tumor Image Analysis

Lenka

Kumar

Mishra

et al. 2020

2020 Fourth International Conference on I-Smac (IoT in Social, Mobile, Analytics and Cloud) (I-Smac)

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Exploring the Role of Fractal Geometry in Engineering Image Processing Based on Similarity and Symmetry: A Review

Song,

Wang,

Jiang

et al. 2024

Symmetry

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Fractal geometry theory has been widely used in engineering image processing. In this work, the basic principles and features of fractal geometry are first introduced and its importance in image processing is explained. The features of the symmetry and asymmetry of images are represented in fractal geometry and symmetry scaling is utilized to deal with image processing problems in engineering applications. Subsequently, specific applications of fractal geometry in engineering image processing are discussed in detail in terms of image compression, edge detection, texture analysis, and image reconstruction and restoration. The exploration of these applications reveals the advantages and usefulness of fractal geometry theory in image processing, and it is found that the image has certain symmetry and self-similarity, which is conducive to the establishment of mathematical models for the statistics of graphic contours and shapes. Finally, the unique value of fractal geometry in engineering image processing is further emphasized by comparing the innovations of fractal geometry with traditional image processing methods, which prompts the in-depth consideration of its potential value in this field. This paper provides new insights and directions for the research of engineering image processing, which is of positive significance for future research.

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Effectiveness of the fractal dimension based classification methods for fractal compression of medical images

Cited by 3 publications

References 18 publications

Analisis Kinerja Kompresi Citra DWT Dan Fraktal Pada Transmisi Citra Dengan Sistem Sc-Fdma

Analisis Kinerja Kompresi Citra DWT Dan Fraktal Pada Transmisi Citra Dengan Sistem Sc-Fdma

An IoT-Cloud Based Fractal Model for Brain Tumor Image Analysis

Exploring the Role of Fractal Geometry in Engineering Image Processing Based on Similarity and Symmetry: A Review

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