Sanjay Mehta
Independent Researcher
India
Abstract
The exponential growth in mobile device usage has driven the demand for efficient image compression techniques to optimize storage and transmission bandwidth. Wavelet transform-based image compression has emerged as a powerful alternative to conventional methods such as JPEG, providing superior compression efficiency and better preservation of image quality. This manuscript reviews the fundamental concepts and practical implementations of wavelet transform-based compression tailored for mobile devices. It discusses various wavelet families, thresholding techniques, and encoding schemes relevant up to the year 2020. The paper presents an experimental evaluation of discrete wavelet transform (DWT)-based image compression compared to traditional methods, highlighting advantages in compression ratio, peak signal-to-noise ratio (PSNR), and computational complexity suitable for mobile platforms. The results indicate that wavelet transform methods offer an effective balance between image quality and resource constraints in mobile environments, making them ideal for next-generation mobile multimedia applications.
Keywords
Image Compression, Mobile Devices, Wavelet Transform, Discrete Wavelet Transform, Peak Signal-to-Noise Ratio, Compression Ratio, Thresholding, JPEG, Embedded Zerotree Wavelet.
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