In today's world, there are more and more images being generated as data, making it difficult to store and send them. Lossless compression of images is important for certain industries that need high-fidelity images since it can shrink the amount of data associated with images with no sacrificing quality. We recommend a better lossless picture by combining Huffman coding, integer wavelet transform (IWT), and linear prediction, this compression algorithm theoretically provides a nearly quadrupling of compression to address the challenge of increasing the ratio of image compression with minimal loss. The key aspect of this approach is a new hybrid transform that uses an entirely novel prediction template and an IWT coefficient processing step. The results of the experiments on three different image sets show that the suggested strategy is effective works better than cutting-edge algorithms. The compression ratios were enhanced by 6.42% to 73.26%, at the very least. Having a respectable compression performance, our technique is better suited to compressing photos through complicated texture and greater resolution.