Developing a new modified Algorithms for Digital Image Sampling and Quantization in Serial and Parallel Image Processing

The improvement of a new changed algorithms for virtual photograph sampling and quantization in serial and parallel image processing is proposed. The set of rules improves upon existing methods with the aid of combining picture sampling, quantization, and parallelization techniques with an efficient, in-region serial photograph processing framework. The ensuing algorithm has several advantages, which includes more accurate and steady photograph output, quicker convergence fees, and flexibility in process scheduling. The set of rules is nicely-suitable to parallel computing environments, together with clusters and multi-center structures. Via widespread experimentation and simulation, the proposed set of rules is located to be effective and to outperform present techniques. Moreover, the performance of the proposed set of rules changed into further confirmed thru a comparison to present methods, and the parameters of the version had been tuned in order to optimize overall performance.