As the digital world expands, so does the size of our digital images. Addressing this challenge, our project delves into innovative techniques for compressing digital images efficiently. By harnessing the power of Discrete Cosine Transform (DCT) and Singular Value Decomposition (SVD), we explore methods to reduce the size of images while retaining their essential details. Through rigorous evaluation, we measure the effectiveness of these techniques using simple metrics like picture quality and compression ratios. In an era where high-resolution images are abundant, finding effective compression methods is critical. The research aims to meet this demand by optimizing image compression techniques. By employing DCT and SVD, we aim to strike a balance between image size reduction and preserving visual integrity. The findings demonstrate promising results, indicating significant reductions in image size without compromising noticeable image quality.