Towards No-Reference of Peak Signal to Noise Ratio

Moreno, Jaime; Jaime, Beatriz; Saucedo, Salvador

doi:10.14569/ijacsa.2013.040119

Cited by 10 publications

(3 citation statements)

References 12 publications

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“…Compared with the traditional copy technology, LDPC and EC Code fault tolerance technology have higher storage efficiency and lower storage overhead, and is suitable for the massive requirements of holographic data storage, they generate parity data by encoded rule [5] . When some data is lost, they can be recovered by decoded [6].…”

Section: A Multi-level Encoded and Interleaved Fata Format For Hdsmentioning

confidence: 99%

A multi-level encoded and interleaved data format for holographic data storage with high reliability and high recoverability

Wang

Cao

Xie

2023

Ninth Symposium on Novel Photoelectronic Detection Technology and Applications

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Section: A Multi-level Encoded and Interleaved Fata Format For Hdsmentioning

confidence: 99%

A multi-level encoded and interleaved data format for holographic data storage with high reliability and high recoverability

Wang

Cao

Xie

2023

Ninth Symposium on Novel Photoelectronic Detection Technology and Applications

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“…Menurut [14] Peak Signal to Noise Ratio adalah perbandingan antara nilai maksimum dari sinyal yang diukur dengan besarnya derau yang berpengaruh pada sinyal tersebut. PSNR biasanya diukur dalam satuan desibel (dB).…”

Section: Pengujian Perhitungan Nilai Mse Dan Psnrunclassified

Implementasi Hidden Text dengan Algoritma Blowfish dan Kompresi Huffman dalam Security Dokumen

Muryanah,

Rahmawati

2023

Syntax J. Inf.

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Perkembangan teknologi memberikan dampak positif dan negatif bagi penggunanya. Informasi dengan mudah dan cepat diakses oleh siapa saja, kapan saja dan dimana saja. Untuk menjaga keamanannya diperlukan suatu usaha mengamankan informasi dari pihak yang tidak berwenang. Kriptografi dan steganografi sebagai salah satu cara untuk menjaga keamanan informasi tersebut. Informasi yang kita miliki (plaint text) akan diubah menjadi suatu informasi acak atau sulit dimengerti (chiper text), biasa disebut dengan enkripsi. Selanjutnya informasi acak tersebut akan disembunyikan atau disisipkan ke dalam citra digital (encode) sehingga tidak akan membuat orang lain curiga bahwa dalam citra digital tersebut terdapat suatu informasi yang sedang disembunyikan. Citra digital yang telah disisipi suatu informasi rahasia (stego image), secara kasat mata manusia tidak ada perbedaannya baik sebelum atau sesudah disisipi informasi rahasia. Penelitian ini berhasil mengamankan informasi dalam bentuk dokumen dengan format pdf, xlsx, docx, pptx dan txt mengunakan kriptografi Blowfish dan Steganografi LSB. Ukuran dokumen hasil proses enkripsi menjadi lebih kecil dengan proses kompresi Huffman dengan nilai rata-rata 57% dari dokumen aslinya. Pengujian mengunakan 3 file dan 3 citra yang berbeda dalam masing-masing format file yaitu pdf, xlsx, docx, pptx dan txt. Pengujian terhadap stego image menghasilkan kualitas tinggi dengan nilai MSE 0,092 dan PSNR 57,12 dB.

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“…In order to evaluate the accuracy of reconstruction results quantitatively, we computed the Peak Signal to Noise Ratio (PSNR) and the structural similarity index (SSIM) between the original image and the reconstructed image. The PSNR value [35] is computed as…”

Section: Image Reconstructionmentioning

confidence: 99%

Reconstruction of sparse-view tomography via preconditioned Radon sensing matrix

Theeda

Kumar

Sastry

et al. 2018

J. Appl. Math. Comput.

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Computed Tomography (CT) is one of the signicant research areas in the eld of medical image analysis. As X-rays used in CT image reconstruction are harmful to the human body, it is necessary to reduce the X-ray dosage while also maintaining good quality of CT images. Since medical images have a natural sparsity, one can directly employ compressive sensing (CS) techniques to reconstruct the CT images. In CS, sensing matrices having low coherence (a measure providing correlation among columns) provide better image reconstruction. However, the sensing matrix constructed through the incomplete angular set of Radon projections typically possesses large coherence. In this paper, we attempt to reduce the coherence of the sensing matrix via a square and invertible preconditioner possessing a small condition number, which is obtained through a convex optimization technique. The stated properties of our preconditioner imply that it can be used eectively even in noisy cases. We demonstrate empirically that the preconditioned sensing matrix yields better signal recovery than the original sensing matrix.

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Towards No-Reference of Peak Signal to Noise Ratio

Cited by 10 publications

References 12 publications

A multi-level encoded and interleaved data format for holographic data storage with high reliability and high recoverability

A multi-level encoded and interleaved data format for holographic data storage with high reliability and high recoverability

Implementasi Hidden Text dengan Algoritma Blowfish dan Kompresi Huffman dalam Security Dokumen

Reconstruction of sparse-view tomography via preconditioned Radon sensing matrix

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