PFM Background Remover

Remove backgrounds from any image in your browser. For free, forever.

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Image background removal refers to the process of eliminating or altering the backdrop of an image while retaining the principal or intended subject. This technique can significantly enhance the subject's prominence and users often apply it in photography, graphic design, e-commerce, and marketing.

Background removal is a potent technique used to highlight the subject of a photo more effectively. E-commerce websites frequently use this to remove unwanted or messy backgrounds from product images, making the product the sole focus of the viewer. Similarly, graphic designers use this method to isolate subjects for use in composite designs, collages, or with various other backgrounds.

There are several methods for background removal, depending on the complexity of the image and the skills and tools available to the user. Most common methods include the use of software tools like Photoshop, GIMP, or specialized background removing software. The most common techniques include use of Magic Wand tool, Quick Selection tool, or Pen tool for manual outlining. For complex images, tools such as channel masks or background eraser can be used.

Given the advancements in AI and machine learning technologies, automatic background removal has become increasingly efficient and precise. Advanced algorithms can accurately differentiate subjects from the background, even in complex images, and remove the backdrop without human intervention. This capability is not only a significant time-saver but also opens up possibilities for users without advanced skills in graphic editing software.

Image background removal is no longer a complex and time-consuming task exclusive to professionals. It is a powerful tool to direct viewer attention, create clean and professional images, and facilitate a multitude of creative possibilities. With the continuously expanding possibilities of AI, this space offers exciting potential for innovations.

What is the PFM format?

Portable float format

The Portable FloatMap (PFM) file format is a lesser-known yet critically important image format, especially in fields that require high fidelity and precision in image data. Unlike more common formats like JPEG or PNG that are designed for general use and web graphics, the PFM format is specifically engineered to store and handle high-dynamic-range (HDR) image data. This means that it can represent a much wider range of luminance levels than traditional 8-bit or even 16-bit image formats. The PFM format accomplishes this by using floating-point numbers to represent the intensity of each pixel, allowing for an almost unlimited range of brightness values, from the darkest shadows to the brightest highlights.

PFM files are characterized by their simplicity and efficiency in storing HDR data. A PFM file is essentially a binary file consisting of a header section followed by pixel data. The header is ASCII text, making it human-readable, and it specifies important information about the image, such as its dimensions (width and height) and whether the pixel data is stored in a grayscale or RGB format. Following the header, the pixel data is stored in a binary format, with each pixel's value represented as a 32-bit (for grayscale images) or 96-bit (for RGB images) IEEE floating-point number. This structure makes the format straightforward to implement in software while providing the necessary precision for HDR imaging.

One unique aspect of the PFM format is its support for both little-endian and big-endian byte ordering. This flexibility ensures that the format can be used across different computing platforms without compatibility issues. The byte order is indicated in the header by the format identifier: 'PF' for RGB images and 'Pf' for grayscale images. If the identifier is uppercase, it means the file uses big-endian byte order; if it's lowercase, the file uses little-endian. This mechanism is not only elegant but also crucial for preserving the accuracy of the floating-point data when the files are shared between systems with different byte orders.

Despite its advantages in representing HDR images, the PFM format is not widely used in consumer applications or web graphics due to the large file sizes that result from using floating-point representation for each pixel. Moreover, most display devices and software are not designed to handle the high dynamic range and precision that PFM files provide. As a result, PFM files are predominantly used in professional fields such as computer graphics research, visual effects production, and scientific visualization, where the utmost image quality and fidelity are required.

The processing of PFM files requires specialized software that can read and write floating-point data accurately. Due to the format's limited adoption, such software is less common than tools for more prevalent image formats. Nevertheless, several professional-grade image editing and processing applications do support PFM files, allowing users to work with HDR content. These tools often provide features not only for viewing and editing but also for converting PFM files to more conventional formats while attempting to preserve as much of the dynamic range as possible through tone mapping and other techniques.

One of the most significant challenges in working with PFM files is the lack of widespread support for HDR content in consumer hardware and software. While there has been a gradual increase in HDR support in recent years, with some newer displays and TVs capable of showing a broader range of luminance levels, the ecosystem is still catching up. This situation often necessitates converting PFM files into formats that are more broadly compatible, albeit at the expense of losing some of the dynamic range and precision that makes the PFM format so valuable for professional use.

In addition to its primary role in storing HDR images, the PFM format is also notable for its simplicity, which makes it an excellent choice for educational purposes and experimental projects in computer graphics and image processing. Its straightforward structure allows students and researchers to easily understand and manipulate HDR data without getting bogged down in complex file format specifications. This ease of use, combined with the format's precision and flexibility, makes PFM an invaluable tool in academic and research settings.

Another technical feature of the PFM format is its support for infinite and subnormal numbers, thanks to its use of IEEE floating-point representation. This capability is particularly useful in scientific visualization and certain types of computer graphics work, where extreme values or very fine gradations in data need to be represented. For example, in simulations of physical phenomena or rendering scenes with exceptionally bright light sources, the ability to accurately represent very high or very low intensity values can be crucial.

However, the benefits of the PFM format's floating-point precision come with increased computational demands when processing these files, especially for large images. Since each pixel's value is a floating-point number, operations such as image scaling, filtering, or tone mapping can be more computationally intensive than with traditional integer-based image formats. This requirement for more processing power can be a limitation in real-time applications or on hardware with limited capabilities. Despite this, for applications where the highest image quality is paramount, the benefits far outweigh these computational challenges.

The PFM format also includes provisions for specifying the scale factor and endian-ness in its header, which further increases its versatility. The scale factor is a floating-point number that allows the file to indicate the physical brightness range represented by the numeric range of the file's pixel values. This feature is essential for ensuring that when PFM files are used across different projects or shared between collaborators, there is a clear understanding of how the pixel values correlate to real-world luminance values.

Despite the technical advantages of the PFM format, it faces significant challenges in wider adoption beyond niche professional and academic environments. The need for specialized software to process PFM files, combined with the large file sizes and computational demands, means that its use remains limited compared to more ubiquitous formats. For the PFM format to gain broader acceptance, there would need to be a significant shift in both the available hardware capable of displaying HDR content and the software ecosystem's support for high-fidelity, high-dynamic-range images.

Looking ahead, the future of the PFM format and HDR imaging, in general, is tied to advancements in display technology and image processing algorithms. As displays capable of presenting a wider range of luminance levels become more common, and as computational resources become more accessible, the obstacles to using HDR formats like PFM may lessen. Moreover, with ongoing research into more efficient algorithms for processing floating-point image data, the performance gap between handling PFM files and traditional image formats could narrow, further facilitating the adoption of HDR imaging in a broader range of applications.

In conclusion, the Portable FloatMap (PFM) format represents a crucial technology in the realm of high-dynamic-range imaging, offering unparalleled precision and flexibility for representing a wide range of luminance levels. While its complexity, along with the need for specialized software and hardware, has limited its adoption to professional and academic contexts, the PFM format's capabilities make it an invaluable asset where image fidelity is of the utmost importance. As the technology ecosystem continues to evolve, there is potential for PFM and HDR content to become more integrated into mainstream applications, enriching the visual experience for a wider audience.

Supported formats

AAI.aai

AAI Dune image

AI.ai

Adobe Illustrator CS2

AVIF.avif

AV1 Image File Format

AVS.avs

AVS X image

BAYER.bayer

Raw Bayer Image

BMP.bmp

Microsoft Windows bitmap image

CIN.cin

Cineon Image File

CLIP.clip

Image Clip Mask

CMYK.cmyk

Raw cyan, magenta, yellow, and black samples

CMYKA.cmyka

Raw cyan, magenta, yellow, black, and alpha samples

CUR.cur

Microsoft icon

DCX.dcx

ZSoft IBM PC multi-page Paintbrush

DDS.dds

Microsoft DirectDraw Surface

DPX.dpx

SMTPE 268M-2003 (DPX 2.0) image

DXT1.dxt1

Microsoft DirectDraw Surface

EPDF.epdf

Encapsulated Portable Document Format

EPI.epi

Adobe Encapsulated PostScript Interchange format

EPS.eps

Adobe Encapsulated PostScript

EPSF.epsf

Adobe Encapsulated PostScript

EPSI.epsi

Adobe Encapsulated PostScript Interchange format

EPT.ept

Encapsulated PostScript with TIFF preview

EPT2.ept2

Encapsulated PostScript Level II with TIFF preview

EXR.exr

High dynamic-range (HDR) image

FARBFELD.ff

Farbfeld

FF.ff

Farbfeld

FITS.fits

Flexible Image Transport System

GIF.gif

CompuServe graphics interchange format

GIF87.gif87

CompuServe graphics interchange format (version 87a)

GROUP4.group4

Raw CCITT Group4

HDR.hdr

High Dynamic Range image

HRZ.hrz

Slow Scan TeleVision

ICO.ico

Microsoft icon

ICON.icon

Microsoft icon

IPL.ipl

IP2 Location Image

J2C.j2c

JPEG-2000 codestream

J2K.j2k

JPEG-2000 codestream

JNG.jng

JPEG Network Graphics

JP2.jp2

JPEG-2000 File Format Syntax

JPC.jpc

JPEG-2000 codestream

JPE.jpe

Joint Photographic Experts Group JFIF format

JPEG.jpeg

Joint Photographic Experts Group JFIF format

JPG.jpg

Joint Photographic Experts Group JFIF format

JPM.jpm

JPEG-2000 File Format Syntax

JPS.jps

Joint Photographic Experts Group JPS format

JPT.jpt

JPEG-2000 File Format Syntax

JXL.jxl

JPEG XL image

MAP.map

Multi-resolution Seamless Image Database (MrSID)

MAT.mat

MATLAB level 5 image format

PAL.pal

Palm pixmap

PALM.palm

Palm pixmap

PAM.pam

Common 2-dimensional bitmap format

PBM.pbm

Portable bitmap format (black and white)

PCD.pcd

Photo CD

PCDS.pcds

Photo CD

PCT.pct

Apple Macintosh QuickDraw/PICT

PCX.pcx

ZSoft IBM PC Paintbrush

PDB.pdb

Palm Database ImageViewer Format

PDF.pdf

Portable Document Format

PDFA.pdfa

Portable Document Archive Format

PFM.pfm

Portable float format

PGM.pgm

Portable graymap format (gray scale)

PGX.pgx

JPEG 2000 uncompressed format

PICON.picon

Personal Icon

PICT.pict

Apple Macintosh QuickDraw/PICT

PJPEG.pjpeg

Joint Photographic Experts Group JFIF format

PNG.png

Portable Network Graphics

PNG00.png00

PNG inheriting bit-depth, color-type from original image

PNG24.png24

Opaque or binary transparent 24-bit RGB (zlib 1.2.11)

PNG32.png32

Opaque or binary transparent 32-bit RGBA

PNG48.png48

Opaque or binary transparent 48-bit RGB

PNG64.png64

Opaque or binary transparent 64-bit RGBA

PNG8.png8

Opaque or binary transparent 8-bit indexed

PNM.pnm

Portable anymap

PPM.ppm

Portable pixmap format (color)

PS.ps

Adobe PostScript file

PSB.psb

Adobe Large Document Format

PSD.psd

Adobe Photoshop bitmap

RGB.rgb

Raw red, green, and blue samples

RGBA.rgba

Raw red, green, blue, and alpha samples

RGBO.rgbo

Raw red, green, blue, and opacity samples

SIX.six

DEC SIXEL Graphics Format

SUN.sun

Sun Rasterfile

SVG.svg

Scalable Vector Graphics

SVGZ.svgz

Compressed Scalable Vector Graphics

TIFF.tiff

Tagged Image File Format

VDA.vda

Truevision Targa image

VIPS.vips

VIPS image

WBMP.wbmp

Wireless Bitmap (level 0) image

WEBP.webp

WebP Image Format

YUV.yuv

CCIR 601 4:1:1 or 4:2:2

Frequently asked questions

How does this work?

This converter runs entirely in your browser. When you select a file, it is read into memory and converted to the selected format. You can then download the converted file.

How long does it take to convert a file?

Conversions start instantly, and most files are converted in under a second. Larger files may take longer.

What happens to my files?

Your files are never uploaded to our servers. They are converted in your browser, and the converted file is then downloaded. We never see your files.

What file types can I convert?

We support converting between all image formats, including JPEG, PNG, GIF, WebP, SVG, BMP, TIFF, and more.

How much does this cost?

This converter is completely free, and will always be free. Because it runs in your browser, we don't have to pay for servers, so we don't need to charge you.

Can I convert multiple files at once?

Yes! You can convert as many files as you want at once. Just select multiple files when you add them.