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.
Image Tools / Local studio
Image Quantized RGB Occupancy Report
Count occupied cells in a fixed four-level-per-channel cube across visible decoded RGB pixels.
Runs locallyNo image upload to Nirmion
Step 1 / Source
Choose one image
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 megapixelsStep 2 / Output
Image Quantized RGB Occupancy Report settings
This analysis uses one documented method so repeated runs on the same decoded pixels remain comparable.
Prepare the quantized-RGB-occupancy JSON reportThe source is not overwritten. Analysis produces a separate quantized-RGB-occupancy JSON report.
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 quantized rgb occupancy report with an inspectable review path
Each visible RGB byte is assigned to one of four equal integer bands per channel; occupied combinations are counted among sixty-four possible cells. Compare the result with the untouched source before using it downstream.Social-ready choices
Compare consistently decoded assets for coarse RGB-space occupancy without treating exact pixel uniqueness or extracted palettes as equivalent measures.
What you receive
Review and download a separate quantized-RGB-occupancy JSON report; the original file on your device remains unchanged.
Decision guide
What image quantized rgb occupancy report measures or changes
Each visible RGB byte is assigned to one of four equal integer bands per channel; occupied combinations are counted among sixty-four possible cells.
Quantized occupancy is not gamut coverage, perceptual diversity, entropy, palette size, color accuracy, compression quality, or visual appeal. Browser-local processing avoids a Nirmion file upload, but it cannot remove copies stored elsewhere.
OpenCV histogram tutorialUseful checks for image quantized rgb occupancy report
- Compare consistently decoded assets for coarse RGB-space occupancy without treating exact pixel uniqueness or extracted palettes as equivalent measures.
- Create a bounded review result while retaining the original for comparison, correction, or a different method.
- 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 Quantized RGB Occupancy Report 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 Quantized RGB Occupancy Report work?
Each visible RGB byte is assigned to one of four equal integer bands per channel; occupied combinations are counted among sixty-four possible cells. Alpha-zero pixels are excluded; every visible pixel can occupy a cell, while repeated samples do not increase the occupied-cell count. 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 Quantized RGB Occupancy Report?
Quantized occupancy is not gamut coverage, perceptual diversity, entropy, palette size, color accuracy, compression quality, or visual appeal. 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.