Lossy image compression of BMP image using wavelet operation

Shahrul Aman, Muhammad Adib Hafifi (2025) Lossy image compression of BMP image using wavelet operation. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

This research creates and assesses an image compression method based on wavelet transforms which targets BMP image formats. The great quality along with simple operation of bitmap (BMP) images makes them popular for various applications. BMP images normally remain uncompressed thus producing file sizes that make efficient storage and transmission difficult. High-resolution image usage has worsened this storage and transmission performance issue. Modern compression methods fail to provide effective solutions since they either lose efficiency or degrade image quality when used in real-time settings. Our paper presents an evaluation and development framework for an image compression method which utilizes wavelets on BMP file structures. The algorithm requires selecting an optimal wavelet type and needs precise compression parameter adjustments. This image compression method will be evaluated through BMP size comparison in tests conducted on multiple additional BMP images. The new compression technique aims to produce a durable solution that retains images' visual quality and minimizes BMP file size for seamless application use through faster transmission rates along with storage efficiencies. An easily navigable software tool is one of the project goals to assist simple integration of this compression method into existing systems for improved adoption and application applications.

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