Conceptual

Reduce PDF File Size by Compressing Images in macOS Preview and Pages

The core principle governing document file size optimization is image quantization and dimensionality reduction within lossy compression frameworks (e.g., JPEG). Theoretically, the storage efficiency of a rasterized document correlates directly with pixel dimensions and resolution; reducing spatial frequency by shrinking physical width or lowering PPI results in exponential decreases in file entropy. Consequently, optimal archival strategies involve pre-adjusting image parameters to match display constraints before applying aggressive compression filters, thereby preventing redundant data encoding without compromising perceptual fidelity below the threshold of human visual acuity for standard viewing.