An Effective Method for the Compression of Images Used in Virtual Environments

This research paper introduces a concept for photo compression that utilises the spatial redundancy approach. The proposed method use the discrete cosine transform technique with various block sizes, specifically 8x8, 16x16, 32x32, and 64x64. The process of quantization can be achieved by establishing a set of threshold values at various distances. Due to these aforementioned considerations, the implementation of this strategy is straightforward, requiring less memory usage and may be completed in a shorter duration. The utilization of the Discrete Cosine Transform (DCT) methodology was employed to develop and execute a compression approach for virtual graphics through the utilization of MATLAB. The calculation of the compression ratio and peak signal-to-noise ratio was performed for each compressed block to get the ideal results. In order to enhance the analysis of the collected data, utilized the metrics of Compression Ratio (CR) and Peak Signal-to-Noise Ratio (PSNR), in conjunction with software tools that are applicable across several sectors.