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Image Tools / Local studio

Image Laplacian Edge Map

Create an absolute four-neighbor luminance Laplacian map that emphasizes rapid second-derivative changes while retaining source alpha.

Runs locallyNo image upload to Nirmion

Step 1 / Source

Choose one image

JPEG · PNG · WebP · 20 MB

Drop your image here

Or browse for a JPEG, PNG, or WebP image that you own or are authorised to edit.

One file · up to 20 MB · maximum 50 megapixels

Step 2 / Output

Image Laplacian Edge Map settings

This analysis uses one documented method so repeated runs on the same decoded pixels remain comparable.

Create the Laplacian edge-map PNGThe source is not overwritten. Export creates a separate Laplacian edge-map PNG.
Keep this page open until the download begins.
01No server upload

The selected image is decoded and re-encoded inside this browser tab.

02Working copy released

After download, the preview URL, decoded bitmap, canvas, and selected source reference are cleared.

03Your download remains

Nirmion cannot remove the finished file from your device or browser download history.

Workflow guide

Use image laplacian edge map with an inspectable review path

Each decoded visible pixel is compared with its four direct neighbours; the absolute second-derivative response becomes grayscale RGB. Compare the result with the untouched source before using it downstream.
A

What you need

Choose one authorised JPEG, PNG, or WebP still image up to 20 MB and 12 million decoded pixels. Animated frames are not processed.

B

Social-ready choices

Compare the map with a Sobel result when inspecting fine line transitions, compression halos, or rapid texture changes.

C

What you receive

Download a separate Laplacian edge-map PNG; the original file on your device remains unchanged.

Decision guide

What image laplacian edge map measures or changes

Each decoded visible pixel is compared with its four direct neighbours; the absolute second-derivative response becomes grayscale RGB.

A Laplacian response is scale- and noise-sensitive and does not identify objects, certify focus, or replace calibrated inspection. Browser-local processing avoids a Nirmion file upload, but it cannot remove copies stored elsewhere.

OpenCV Laplace operator tutorial

Useful checks for image laplacian edge map

  1. Compare the map with a Sobel result when inspecting fine line transitions, compression halos, or rapid texture changes.
  2. Create a bounded review result while retaining the original for comparison, correction, or a different method.
  3. Test representative flat areas, gradients, edges, text, transparency, and high-frequency texture before accepting the output.

Good to know

Important image boundaries

Why might a PNG not become smaller?
PNG is lossless and browsers do not expose a quality control for it. Choose WebP or JPEG when reducing file size matters more than exact lossless pixels.
Are animated images supported?
No. The workspace accepts still JPEG, PNG, and WebP files. Re-encoding an animated source would otherwise keep only one frame.
What does clearing the file mean?
Because processing is local, there is no Nirmion server copy to delete. The tab releases its working references after success; your downloaded output remains on your device.

Questions answered

Frequently asked questions

Does Image Laplacian Edge Map upload my image?

No. Supported JPEG, PNG, and WebP decoding, pixel inspection, transformation, and export run in your current browser tab. Nirmion does not send the selected image to its API for this workflow. The result is a separate derivative or JSON report, while the original file on your device remains unchanged and should be retained for comparison.

How does Image Laplacian Edge Map work?

Each decoded visible pixel is compared with its four direct neighbours; the absolute second-derivative response becomes grayscale RGB. Fully transparent samples are excluded from numerical reports, while visual effects preserve source alpha. The method does not infer subjects, restore missing detail, calibrate a display, or develop raw camera data. Compare edges, gradients, text, texture, and transparent areas with the original before relying on the result.

What are the limits of Image Laplacian Edge Map?

A Laplacian response is scale- and noise-sensitive and does not identify objects, certify focus, or replace calibrated inspection. The workspace accepts one supported still image up to 20 MB and caps this pixel-intensive operation at 12 million decoded pixels for predictable browser memory use. Results depend on browser decoding and encoding support. Animation, raw development, ICC calibration, layer editing, and batch processing are outside this tool's verified scope.