Enhance washed-out graphics, sculpt rich highlights and deep shadows, and restore dynamic range with the RiazHub Universal Image Contrast Adjuster & Tonal Balance Studio. Designed for photographers, graphic artists, digital content creators, and document archivists, this 100% browser-based utility delivers professional-grade tonal correction without requiring software installations or server uploads.
Universal Image Contrast Adjuster & Tonal Balance Studio
Enhance washed-out graphics, sculpt highlights and shadows with sigmoidal S-curves, analyze live 256-bin RGB histograms, and batch process images in real time with 100% in-browser privacy.
Key Capabilities & Features:
• Dual Contrast Engines: Choose between mathematical Linear Slope Scaling for crisp document scan recovery and non-linear Sigmoidal S-Curves for filmic highlight and shadow roll-off that preserves delicate cloud textures and dark fabrics.
• 3-Way Zonal Tonal Separation: Fine-tune contrast independently across Shadows (0–85), Midtones / Clarity (86–170), and Highlights (171–255) for targeted balance in backlit portraits and high-contrast landscapes.
• Black & White Point Normalization: 1-click Auto-Contrast Equalizer analyzes real-time pixel arrays to expand compressed, foggy dynamic ranges across the full 0–255 spectrum.
• Live 256-Bin RGB & BT.709 Luminance Histogram: Monitor real-time channel distributions with automated clipping integrity alerts that warn against crushed blacks or blown-out highlights.
• Split-Screen Before/After Viewport: Compare your original and enhanced graphics side-by-side using an interactive vertical sliding divider.
• Multi-Image Batch Processing Queue: Drag and drop dozens of photos, apply uniform contrast profiles, and download the entire collection packed into an in-memory ZIP archive.
• Lossless & Modern Web Formats: Export directly to WebP, Lossless PNG, or high-quality JPEG with customizable compression and custom suffix tags.
• Absolute Privacy Guarantee: All 8-bit lookup table (LUT) processing and image decodes run strictly inside your browser via HTML5 Canvas—zero user data is ever transmitted over external networks.