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…ls across all filters
…izes into separate files
…volution) or path to file (single convolution)
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Implementation of sequential and parallel image convolution with the following features:
Grayscale conversion and image loading via OpenCV. Support for multiple convolution filters, including blur, sharpen, edge detection, Gaussian, motion blur, and more. Five convolution modes: Sequential, Pixel-wise, Parallel by Rows, Columns, and Tiles. Support for convolution of several images with pipelines. Benchmarking tools for comparing performance across pipelines, modes and filters. Parallelism customization (e.g., batch/tile size). Testing properties of sequential implementation. Correctness testing against sequential implementation. Organized test suite and performance analysis tools (test/kotlin/benchmarks/) + EfficiencyAnalysis.md with explanations of perfomance benchmarking. Information about pipelines' performance is in (test/kotlin/benchmarks/pipelines), analysis is also included in EfficiencyAnalysis.md. Added README.md with usage, structure, and evaluation details.