The Universal Photo Blur & Optical Depth-of-Field Studio on RiazHub is a professional-grade, privacy-first image processing utility designed to deliver authentic optical depth, creamy portrait bokeh, miniature tilt-shift simulations, directional motion vectors, and compliance-grade privacy mosaics directly in your web browser. Powered by HTML5 Canvas 2D convolution buffers and mathematical sliding-window passes, this studio executes multi-megapixel blur calculations at 60 FPS without uploading a single pixel to external servers.

Users can toggle seamlessly between Global Full-Frame diffusion and Interactive Selective Area Masking using draggable rectangular bounding boxes, elliptical radial spotlights with inverted background triggers, and freeform paint/erase brushes with customizable feathering. The interactive studio viewport features a 60 FPS split-screen before/after comparison slider, a 200%/400% zoom loupe for inspecting specular highlight halos, and a high-contrast grayscale alpha mask inspection HUD. With support for multi-photo batch queues of 50+ images, 32-bit RGBA transparency preservation, 1-click clipboard copying, lossless PNG/WebP/JPEG exports, and in-memory ZIP packaging, this tool offers photographers, designers, and privacy advocates an instantaneous, free desktop-class optical editing suite.

⚡ RiazHub Optical Studio • Universal Multi-Topology Engine

Universal Photo Blur & Optical Depth Studio

Apply authentic lens bokeh, simulate tilt-shift miniatures, add directional motion blur, or redact sensitive data with privacy mosaics in real time. 100% private in-browser canvas processing.

✨ Active Engine

Gaussian Blur

3-Pass Box Convolution

🎚️ Blur Intensity

Radius: 25 px

Medium Softness

🎯 Mask Geometry

Entire Frame

Full Image Blurred

🔒 Processing Mode

100% Client-Side

Zero Server Uploads

⚡ Quick Presets:

📁

Drop Photos Here or Click to Upload

Supports JPG, PNG, WebP, AVIF, TIFF & BMP (Up to 50+ photos)

Select Blur Engine Gaussian

Blur Radius / Intensity 25 px

Specular Highlights Boost 40%

Motion Direction Angle 45°

Focal Band Width 30%

Focal Horizon Position 50%

Mosaic Pixelation Block Size 16 px

Selective Blur Mask Mode Entire Image

Invert Mask (Blur background, keep subject sharp)

Mask Edge Feathering 15 px

Export Format & Quality

Image Quality 95%

Show Mask Handles

ORIGINAL SHARP

BLURRED OUTPUT

⇄

100%

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🔬 Optical Blur Physics & Circle of Confusion (CoC) ▼

Physical camera lenses achieve bokeh through light cone refractions traversing circular or polygonal iris blades. In computational photography, true Gaussian blur uses convolution kernels based on the normal distribution $G(x) = \frac{1}{\sqrt{2\pi\sigma^2}}e^{-x^2/(2\sigma^2)}$. Our browser engine employs an ultra-fast, multi-pass moving-sum convolution that yields mathematical parity with Gaussian kernels at 60 frames per second without lagging your browser.

🏙️ The Miniature Illusion: Tilt-Shift & The Scheimpflug Principle ▼

Tilt-Shift lenses tilt the optical plane relative to the camera sensor. Because our human eyes naturally observe miniature models with an extremely shallow depth of field, simulating a sharp horizontal band flanked by a quadratic falloff gradient tricks the human visual cortex into interpreting life-sized cityscapes, trains, and skylines as tiny tabletop scale models.

⬛ Privacy Mosaic Redaction & Compliance ▼

When redacting faces, vehicle license plates, or credit card numbers, Gaussian blur can sometimes be mathematically reversed using deconvolution algorithms if the radius is small. Mosaic pixelation downsamples discrete $N \times N$ coordinate grids and calculates the color average across each cell, permanently discarding high-frequency edge information to ensure strict privacy compliance.

🛡️ 100% In-Browser Client-Side Processing Guarantee ▼

All pixel calculations, filter convolutions, mask composites, and ZIP archives are processed exclusively on your device using HTML5 Canvas buffers and native JavaScript. Not a single byte or pixel ever leaves your device or touches an external server.