PGX to YUV Converter

Quick PGX to YUV conversion — free online tool

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Speedy Conversion

No long waits — PGX to YUV processing is optimized for speed. Your converted file is typically ready in just a few seconds.

Quality Preserved

The converter extracts full image data from PGX and encodes it into YUV at maximum fidelity. No unnecessary quality degradation.

Works in Your Browser

The entire PGX to YUV conversion happens in a web browser. No desktop software to install — just upload, convert, and download.

How to convert PGX to YUV

1

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

2

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

3

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

About formats

PGX is a simple single-component raster image format defined as part of the JPEG 2000 standard (ISO/IEC 15444) for use in conformance testing and verification of JPEG 2000 codec implementations. Introduced around 2000 alongside the JPEG 2000 specification itself, PGX files store a single image component (one color channel or grayscale plane) with a text header followed by raw pixel data, providing an unambiguous reference representation against which encoder and decoder outputs can be compared sample by sample. The header is a single ASCII line specifying endianness (ML for big-endian, LM for little-endian), signedness (+ for unsigned, - for signed), bit depth (1 to 32 bits), width, and height. The pixel data follows as raw binary values, each occupying the minimum number of bytes needed for the specified bit depth, with one value per pixel. For multi-component images (like RGB), each component is stored in a separate PGX file. The format's deliberate simplicity — no compression, no metadata, no multi-channel support — ensures there are no ambiguities in interpretation that could mask codec bugs. One advantage is verification precision: PGX's uncompressed, exactly-specified representation allows bit-exact comparison of decoded JPEG 2000 output against reference images, essential for certifying that a codec implementation conforms to the standard. The format's role in the JPEG 2000 conformance testing framework means it is implemented by every serious JPEG 2000 codec (OpenJPEG, Kakadu, etc.) and used in the official ISO conformance test suite. PGX files can also be processed by ImageMagick and various JPEG 2000 development tools.
Initial release: 2000
YUV is a raw pixel data format storing images in the Y'UV color model, where image data is separated into a luminance component (Y', representing brightness) and two chrominance components (U/Cb and V/Cr, representing color difference signals). The YUV color model originated with analog color television broadcasting — specifically the NTSC system adopted in 1953 and the PAL system in 1967 — where backward compatibility with existing black-and-white receivers required separating brightness from color information. In digital imaging, the ITU-R BT.601 standard (1982) formalized the digital YCbCr encoding derived from the analog YUV model, defining the conversion matrices and sample precision used by virtually all digital video and broadcast systems. YUV raw files contain no header, compression, or metadata — they are flat sequences of luminance and chrominance samples in a specified ordering (4:4:4, 4:2:2, 4:2:0, or other subsampling ratios), requiring external specification of dimensions, bit depth, and subsampling scheme. The 4:2:0 subsampling mode (where chrominance has half the horizontal and half the vertical resolution of luminance) is particularly common, used by H.264, H.265, AV1, and most consumer video codecs. One advantage is direct video pipeline compatibility: YUV data is the native input format for video encoders, hardware display controllers, and camera sensor ISPs, making raw YUV the most direct representation for frame-accurate video processing and analysis. The perceptual efficiency of the YUV color model is another fundamental strength — separating luma from chroma enables effective subsampling that halves or quarters the color data with minimal visible impact. YUV data is processed by FFmpeg, ImageMagick, and all video processing tools.
Developer: ITU-T (CCIR)
Initial release: 1982

Frequently Asked Questions

Why convert PGX to YUV?

Converting from PGX to YUV bridges the gap between specialized standards conformance testing formats and standard image workflows.

What programs open YUV files?

Open YUV files with any image editor or viewer — Photoshop, GIMP, Paint.NET, IrfanView, or the built-in viewer on your operating system.

Why is PGX not widely supported?

PGX was created specifically for JPEG 2000 testing — a narrow technical purpose. It was never designed for everyday image storage or distribution.

Which platforms are supported?

Every platform with a modern browser works — Windows, macOS, Linux, ChromeOS, iOS, and Android all run the PGX to YUV converter perfectly.

Can I convert multiple PGX files at once?

Yes — upload several PGX files in a single session and convert them all to YUV simultaneously. Batch processing saves considerable time.