This work presents a specialized image compression method as enhanced discrete cosine transform (DCT) that is designed specifically for ultra-high-resolution imagery. By using the mathematical principles of DCT, our method enhances the compression procedure to effectively handle the difficulties linked to high-resolution photographs, all while preserving essential picture characteristics. This approach entails dynamically selecting block sizes and independently processing color channels, so ensuring the preservation of color information. An important advancement is the use of coefficient thresholding, which involves selecting setting to zero the DCT coefficients that exceed a predetermined threshold. This technique allows for substantial decrease in data while maintaining visual quality. The suggested methodology follows a methodical procedure, enabling users to choose a compression factor that optimizes the trade-off between image quality and compression ratio. The process encompasses every stage, starting with the analysis of the initial RGB (Red, Green, Blue) image to the restoration of the compressed RGB picture. This includes the calculation of DCT coefficients, the choice of block sizes, and the implementation of thresholding for compression. The procedure culminates with the possibility of assessment and optimization, allowing users to refine settings according to defined standards for image quality. The approach is a reasonable and adaptable solution for many applications involving the compression of high-resolution images. This approach allows for the reduction of data while maintaining important image features. The experimental findings showcase the versatility of the method, rendering it appropriate for a wide range of ultra-high-resolution imaging settings.