Main Article Content
Image compression is important over time, controls communication channels, and the great need for real-time data transfer. On this basis, many compression algorithms reduce the size of data on the condition that quality is maintained to the extent possible. In this research, we have a special interest in processing the objects that appear when processing digital images (specific space) given by the number of colors, such as those found in color coding (HSL or Green Blue Red (RGB)). A sophisticated algorithm has been created by relying on the intermittent interlock of image windows and computation of its assembly funcEnergy-Efficienttions using the process of centralization in all its different forms such as computation of arithmetic mean, geometric mean or arithmetic mean, all to be reduced and reconstructed for this colored digital space image. In this paper, we also present procedures for calculating the distortion resulting from reduction and reconstruction to evaluate the status of using the assemblages.