Comparative Analysis of Wavelet Families in Image Compression, Featuring the Proposed New Wavelet

Authors : Ibrahim Öz

Pages : 279-294

Doi:10.55525/tjst.1428424

View : 40 | Download : 61

Publication Date : 2024-03-28

Article Type : Research

Abstract :Image compression is fundamental to the efficient and cost-effective use of digital media, including but not limited to medical imagery, satellite images, and daily photography. Wavelet transform is one of the best methods used in compression. This study conducts a meticulous comparative analysis of various established wavelet families and introduces a novel wavelet named new wavelet for image compression (NWI), shedding light on its performance compared to well-established counterparts. This research conducts a meticulous comparative analysis of various wavelet families to assess their performance in image compression. The results show that an average compression ratio of around 75% can be achieved with a 38 dB PSNR value for all test images. The best result was achieved with the test-2 image, with a compression performance (CP) of 3312.08, using the proposed NWI wavelet. The research evaluates eight wavelet families and shows that the performance of image compression depends on both image type and selected wavelet family while keeping the coding algorithm the same for all calculations of image processing scenarios. In image compression, introducing new wavelet families, such as the NWI, can enhance performance and achieve better results.
Keywords : Dalgacık, görüntü sıkıştırma, sıkıştırma oranı, sinyal gürültü oranı