Methods and means of creating a software package for digital image processing

Abstract

This paper presents an integrated methodology for designing and implementing a software package aimed at comprehensive digital image processing, combining classical preprocessing techniques with advanced spectral-transform approaches and simulation-based data generation. The developed Digital Image Processing (DIP) package enables the processing of both real images and synthetically generated deterministic or stochastic structures, ensuring controlled experimental conditions for evaluating algorithms. The study addresses key challenges of image enhancement, including noise suppression, contrast adjustment, amplitude and frequency filtering, and contour extraction of high-contrast objects. A set of modelling tools was created for generating polygons, ring-shaped structures, and linear configurations with configurable quantisation parameters and noise models, which significantly expands the capabilities of testing and validation. The proposed algorithms integrate spatial-domain and frequencydomain methods, including median filtering, adaptive amplitude transformations, fast Fourier transform (FFT)-based frequency analysis, functional spectrum transformations, and derivative-based contour detection. Software modules implementing these algorithms form a unified application package that supports interactive selection of processing scenarios and iterative refinement. Experimental results demonstrate increased accuracy, stability, and visual quality of processed images, especially under noisy conditions. The presented approach provides a universal framework for preliminary image enhancement and spectral analysis, with applications in medical imaging, technical diagnostics, industrial monitoring, and automated visual inspection systems. The novelty of the work lies in combining modelling tools with unified preprocessing and spectral-transformation capabilities, ensuring high flexibility and reproducibility of digital image processing workflows.