Image processing and computer vision are topics that are rapidly advancing, with growing applications in science and technology. Despite significant advancements in storage, processing speed, and digital communication system performance, the need for data storage space and data communication bandwidth continues to exceed existing technologies. This is a crippling limitation of communication and storage. As a result, an efficient image compression method has become necessary. Image compression is a critical strategy for dramatically boosting storage capacity. Lossless image compression is a type of compression that necessitates a high-quality reconstructed image. Because image quality is important in research and development, defence, medical, and navigation, this type of compression is more useful. This paper presents a novel binary-based picture compression method based on interpixel redundancy in the spatial domain. With the given input, this method generates a binary plane and a data table and outputs a combined file. When compared to the proposed method alone, the widely used Huffman coding technique yielded a reasonable compression rate. The proposed method yielded higher compression ratios with higher perceptual quality of the regenerated images than the commercial JPEG method. Color photos can be treated in the same way.