Image compression is a crucial process in image processing with numerous applications. It significantly enhances transmission efficiency by reducing the number of bits required to transmit images, all while maintaining image quality and ensuring that they remain acceptable to human visual perception. In this paper, we proposed a new method for image compression to minimize the size of a 2D-image based on removing the repeated Discrete-Cosine Transform (DCT) coefficients. The proposed method started to separate an image to 8×8 blocks. Each DC coefficient for each block separated in an array. Meanwhile, others 63 high frequency coefficients from each block in converted to multi row array, to remove repeated AC coefficients. Finally, the lossless arithmetic coding applies to compress final reduced data. The proposed algorithm has been tested with images of varying sizes in the context of 3D reconstruction. Results demonstrate that our proposed algorithm is superior to traditional JPEG at higher compression ratios, with high perceptual quality of images and the ability to decompress 2D models more effectively.