LUMEX: A Web-Based Image Enhancement Studio Using Python, Flask, and Pillow

Abstract: Digital image processing is a critical component of modern software architecture, yet existing solutions frequently oscillate between prohibitive complexity for casual users and expensive proprietary licensing. This paper introduces LUMEX, a lightweight, browser-based studio for image enhancement developed using Python-Flask (≥2.3.0) with Pillow (≥10.0.0) and NumPy (≥1.24.0). The proposed system integrates a modular pipeline encompassing four tone controls (brightness, contrast, saturation, sharpness), eleven specialized filters, and high-fidelity geometric transformations utilizing LANCZOS resampling. The frontend, implemented as a single-page application with a dark-themed interface, supports drag-and-drop upload, real-time parameter adjustment, and a three-mode image viewer (Original / Enhanced / Split). Architecturally, LUMEX exposes four stateless REST endpoints over HTTP. Experimental results demonstrate sub-300 ms processing latency for HD images on commodity hardware, with JPEG output quality configurable from 10 to 100 (default: 92). By utilizing a fully self-hosted, open-source stack, LUMEX delivers a secure and professional-grade alternative to cloud-based editors that compromise user data privacy.

Keywords: Digital image processing, Flask, Image enhancement, LANCZOS resampling, Pillow, Python, REST API, Web application.