This study shows DCT compression reduces file size in high-resolution images, highlighting its balance with visual quality.
The increasing demand for high-resolution digital images in various domains such as social media, healthcare, security, and facial recognition has intensified challenges related to large file sizes, impacting storage, transmission speed, and processing efficiency. Digital image compression offers a viable solution, with two primary approaches: lossless and lossy. Among lossy techniques, the Discrete Cosine Transform (DCT) is widely adopted, notably in the JPEG standard, for its ability to transform spatial-domain data into the frequency domain, preserving essential information while reducing redundant details. This study investigates the effectiveness of DCT-based compression in reducing file size while maintaining acceptable visual quality, highlighting its balance between storage efficiency and image fidelity.
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Rengganis et al. (2025) studied this question.
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