An Evaluation of Digital Image Sampling and Quantization for Serial and Parallel Image Processing

this paper presents an evaluation of the virtual image Quantization (DIQ) method for parallel photo processing. This approach is primarily based on the idea of parallelizing the operation of quantizing a picture with the aid of subdividing the picture into a number of rectangular sections. These sections are then processed in parallel on multiple processors. The results of the assessment show that DIQ is a viable technique for parallel picture processing, with an estimated benefit of up to 2 hundred% in speedup over a conventional serial quantization method. Moreover, the effects additionally indicate that, while used correctly, DIQ can achieve considerably higher outcomes in comparison to serial strategies. The paper also includes a discussion of the potential programs and obstacles of DIQ.