Whole-Image Blur Filter
Whole-Image Blur Filter: Applies multi-pass Gaussian box blur across the selected region pixels while leaving surrounding areas untouched.
About this whole-image blur filter
Apply a fixed blur filter to the entire selected image; this tool does not provide selective redaction.
How this tool works
Implements client-side Whole-Image Blur Filter operations. Applies multi-pass Gaussian box blur across the selected region pixels while leaving surrounding areas untouched specifically designed for a journalist obscures faces or sensitive license plate numbers in a photo before publication.
- Binary Segment & EXIF Header Parsing: Identifies JPEG APP1 or PNG chunks, extracting and reporting embedded GPS coordinates and camera metadata.
- EXIF Scrubbing Pipeline: Reconstructs clean binary streams omitting metadata segments without lossy re-encoding.
- Convolution & Pixelation Matrix: Applies 2D spatial convolution matrices (Gaussian blur, box blur, sharpen) or regional pixelation blocks.
- QR Matrix Synthesis: Encodes text or URLs into ISO/IEC 18004 QR code matrix with Reed-Solomon error correction (L, M, Q, H).
Worked example
Scenario: Blur a 12×9 test PNG with the fixed filter.
Sample input:
Processing: Canvas draws the full image with blur(12px).
Illustrative output:
Limits and verification
Scrubbing EXIF metadata is completely lossless because compressed image bitstreams are not re-encoded. Privacy blur and pixelation are destructive pixel operations that permanently overwrite original image data (preventing de-blurring recovery).
Examples demonstrate an expected workflow; they do not prove every input or every branch of an external specification. Check important results with an independent source before using them for money, security, compliance, safety, or irreversible file changes.
Browser processing boundary
Tool input is processed by code running in the browser and is not intentionally sent to a CZOA processing API. The page can still request ordinary site assets, analytics, or advertising when those services are enabled. Browser extensions and managed-device software remain outside this tool's control.
Relevant references
These references govern or help explain the format, protocol, or calculation used here. Listing a reference does not claim certification or complete implementation of every optional feature.
Content owner: CZOA Tools · Last reviewed: 2026-09-15 · Review methodology
How to use it
- Enter, paste, or select your input data into the Whole-Image Blur Filter workspace controls.
- Review available parameter fields, units, formats, or options configured for your task.
- Click the action button or observe immediate live calculations rendered in your browser runtime.
- Inspect the resulting output and any diagnostic messages, then copy or download the result if needed.
Frequently asked questions
How does Whole-Image Blur Filter process an image?+
It draws the decoded image through the browser Canvas 2D filter blur(12px) and returns a PNG data URL. It applies that one fixed whole-image filter; it does not select a face, rectangle, or other region.
What controls does Whole-Image Blur Filter provide?+
The page has one image-file chooser and Process locally. It has no blur-radius, mosaic, selective-region, face detection, brush, reversible mask, format, metadata, or batch control.
What limits apply to whole-image blur?+
A browser-decodable image is required and the output depends on Canvas blur behavior. The PNG is rasterized output, not guaranteed privacy protection, a reversible effect, a source-metadata-preserving edit, or a promise that every sensitive detail is obscured.
What does browser-isolation evidence establish for whole-image blur?+
Network requests observed during the example contained no selected-image payload while the fixture produced and independently decoded a same-size PNG with multiple changed source pixels under the declared 12px blur. This supports only the tested browser value path; resources, extensions, permissions, and other networks are outside the observation.