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Improved Slant and Walsh-Hadamard transforms for audio signals using watermarking as application with comparison to DCT, DWT, FWHT, LWT and Wav-Decomposition
تطوير محولات Slant,Walsh-Hadamard للملفات الصوتية واستخدامها في تطبيقات العلامة المائية, مع مقارنة بين الانواع المطورة وانواع اخرى مثل DCT,DWT,HWHT,LWT,wav-dec

Authors: Hala B. Abdul Wahab --- Abdul-Mohssen J. Abdul-Hossen1 --- Sana Ahmed Kadhom²
Journal: Journal of College of Education مجلة كلية التربية ISSN: 18120380 Year: 2017 Issue: 1 Pages: 95-106
Publisher: Al-Mustansyriah University الجامعة المستنصرية

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Abstract

Audio signals are transmitted and recorded in time (or spatial) domain, transformed to frequency domain when compressed, watermarked or encrypted. The transformation is done by using some form of transform like Discrete cosine transform(DCT), Fast Fourier transform(FFT), Discrete wavelet transform( DWT), Fast Walsh Hadamard transform(FWHT) and many others. Slant transform(SLT) was mainly produced and used for images; it was proved that Slant had better performance measurements than Walsh-Hadamard transform, although they have many common characteristics, SLT has fast and simple computations ; In this paper a modified Slant transform that has the ability to work efficiently with audio files and modified WHT were introduced. The modified and other transforms were used especially in audio watermarking as one of the most important applications on both ‘transforms and audio’. The new improvements were tested on many audio files and compared to other transformers using SNR, BER, Time and other metrics.

يتم تسجيل الصوت في المجال الزمني ويتم تحويله الى المجال الترددي في حالات معينة كالضغط والاخفاء والترميز باستخدام المحولات. وهناك انوع محولات عديدة معروفة ومستخدمة. يهدف البحث الى تطوير نوعين من المحولات ومقارنتها مع الانواع المعروفة من عدة نواحي وتطبيقها على اخفاء علامة مائية داخل الملف الصوتي


Article
IMAGE COMPRESSION BY USING WALSH AND FRAMELET TRANSFORM

Author: Nora H. Sultan
Journal: KUFA JOURNAL OF ENGINEERING مجلة الكوفة الهندسية ISSN: 25230018 Year: 2019 Volume: 10 Issue: 2 Pages: 27-41
Publisher: University of Kufa جامعة الكوفة

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Abstract

In this paper, Framelet and Walsh transform are proposed for transformation, and then using arithmetic coding for compress an image. The goal is to achieve higher compression ratio by applying two levels Framelet transform (FLT), and then apply 2D Walsh-Hadamard transform (WHT) on each 8x8 block of the low frequency sub-band, while all other sub-bands are ignored. Experimental results show that the proposed algorithm gets best possible solution for tradeoff between compression ratio (size of image) and quality of compressed image, Peak Signal to Noise Ratio (PSNR). The simulation was carried using MATLAB software package version 2014. In this work, experiments were carried out on the gray scale and colored images.

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