OICC Press Majlesi Journal of Electrical Engineering 2345-3796 18 1 2024 04 21 Walsh Transform-based Image Compression for Less Memory Usage and High Speed Transfer 10.30486/mjee.2023.1996722.1267 EN Aqeel Majeed Breesam Institute of Medical Technology/ Baghdad, Middle Technical University, Baghdad, Iraq 0000-0003-3735-9028 Ali M. Zalzala Department of Electronics and Communication Engineering, Uruk University, Baghdad, Iraq Esraa Najjar Computer Science Department, General Directorate of Education in Najaf Governorate, Al-Najaf, Iraq Journal Article 2024 04 21 The rising use of digital imaging applications has recently boosted the demand for different image compressing algorithms. Picture compression is used to reduce unnecessary information from an image. We can store the vital information of a picture via image compression, reducing storage space, time, and transmission bandwidth. Although the results of lossy compression reconstruction are not similar to the original image the compression technique is essential to save a large amount of memory and increase the speed of transmission, especially when dealing with images. In this research a database of different five images was considered namely; woman, car, Lenna, peppers, and house with sizes of 33, 47, 40, 44, and 51 Kb respectively. The compression was fulfilled by Walsh transform with four compression ratios 5%, 10%, 15%, and 20%. The Walsh transform performed well and gave the highest average PSNR of 29.1904 during a 10% of compression ratio.