PFM to JBIG Converter

Free online PFM to JBIG image conversion

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Data Protection

Your uploaded PFM data is deleted right after conversion, and the JBIG output is removed from servers within 24 hours — keeping your content private.

Cloud Conversion

All processing runs on remote servers — no local resources consumed. Upload your PFM data and let the cloud deliver your JBIG output.

Browser-Based

No software to install — open Convertio in any browser, upload your PFM data, choose JBIG, and download. Works on every platform.

How to convert PFM to JBIG

1

Select files from Computer, Google Drive, Dropbox, URL or by dragging it on the page.

2

Choose jbig or any other format you need as a result (more than 200 formats supported)

3

Let the file convert and you can download your jbig file right afterwards

About formats

PFM (Portable Float Map) is a floating-point raster image format devised by Paul Debevec around 2001, designed to store high-dynamic-range image data with the simplicity of the Netpbm family of formats. PFM extends the PBM/PGM/PPM philosophy — minimal header, raw data, no compression — to 32-bit IEEE floating-point samples, providing direct access to HDR pixel values without the encoding overhead of formats like OpenEXR or the limited range of Radiance HDR's RGBE encoding. The file structure is deliberately minimal: a two-character magic number ('Pf' for grayscale, 'PF' for color), width and height on the next line, a scale/endianness indicator (negative for little-endian, positive for big-endian, with magnitude indicating scale factor), and then the raw 32-bit float data for each pixel. PFM files store one float per pixel for grayscale or three floats (RGB) per pixel for color, with no compression, alpha channel, or metadata support. The format emerged from the HDR imaging research community where Debevec's work on image-based lighting and light stage capture required a simple, unambiguous way to store linear floating-point radiance values that could be easily exchanged between research tools. One advantage is absolute simplicity for HDR data: PFM can be read and written in a few lines of code in any language that supports IEEE floats, with no library dependencies — ideal for research prototyping and quick data exchange between custom tools. The format's widespread adoption in the computer vision and computational photography research community is another practical strength — optical flow benchmarks (Middlebury), depth estimation datasets, and radiance field captures commonly use PFM. The format is supported by ImageMagick, OpenCV, HDR Shop, and Luminance HDR.
Developer: Paul Debevec
Initial release: 2001
JBIG (Joint Bi-level Image experts Group) is a lossless image compression standard (ITU-T T.82) published in 1993, developed by a committee of experts drawn from the same international standards bodies that created JPEG. While the extension .jbig and .jbg refer to the same underlying compression standard, .jbig is the more explicit form commonly used in software that handles the raw JBIG-compressed datastream. The compression algorithm centers on context-dependent arithmetic coding: before encoding each pixel, the encoder examines a configurable template of 10 to 16 nearby pixels (a mix of neighbors from the current and previous lines) to determine a context — one of thousands of possible local pixel configurations. Each context maintains its own adaptive probability estimate that is continually updated as encoding proceeds, allowing the coder to exploit the statistical patterns unique to each image region. This approach handles text, line art, halftoned photographs, and mixed-content pages with a single algorithm, achieving consistently better compression than the fixed Huffman tables of Group 3 or the simpler prediction model of Group 4. A later revision, JBIG2 (T.88), added pattern matching and lossy modes for even higher compression, but the original JBIG remains widely deployed. One advantage is the algorithm's adaptiveness: unlike Group 3/4 codecs that use fixed statistical models, JBIG continuously learns the characteristics of each specific image as it encodes, providing near-optimal compression across widely varying content types. The standard is embedded in many multifunction printers and document scanners for internal image handling. JBIG files are processable by ImageMagick, jbigkit, and enterprise document imaging systems.
Initial release: 1993

Frequently Asked Questions

Why convert PFM to JBIG?

Floating-point PFM data is too specialized for most tools. Converting to JBIG translates the data into a universally readable format.

What programs open JBIG files?

JBIG files can be opened in jbig-kit tools, IrfanView, and professional document scanning software.

Is PFM to JBIG conversion lossless?

The pixel data from your PFM source is mapped faithfully to JBIG. Whether the result is lossless depends on the JBIG format's compression method.

What makes JBIG a good target format?

JBIG offers bi-level compression, efficient fax encoding, ITU standard. It gives your raw PFM data a proper structure that any image viewer or editor can handle.

Can I convert PFM to JBIG on my phone?

Yes — the converter works in mobile browsers on both Android and iOS. No app installation needed, just open the page and upload.