Pixspan's Bit Exact Round Trip™ image compression is focused on four primary goals in compressing full resolution images:
- Ensuring that the fidelity of the original images is perfectly preserved
- Providing best-in-class image data savings (compression ratio reduction) to accelerate transfers and reduce storage costs
- Delivering the fastest decompress times to make compression seamless in imaging workflows
- Scaling in performance to the available compute platform
Full-Resolution imagary represents a fundamental asset and work product across many industries, for example:
Preserving Image Fidelity Perfectly
Bit Exact Compression means that an image is compressed into a smaller representation of the original image (a PXZ Container format) that still holds all the information from the original image. That means that the compressed image can subsequently be decompressed back into bit-for-bit exact replica of the original image. The source image and the round-trip image can be compared with a hashing algorithm like MD5 or SHA-256, and they will be shown to be identical. Bit Exact Compression allows multiple compress/decompress cycles, and the result will always be equivalent to the original image. Such tests are called Generational Tests, and are common in image compression test suites, though more applicable to lossy forms of compression. Pixspan compression is intra-frame, meaning that each image is compressed without knowledge of other surrounding frames.
Pixspan's patented compression software is a file format aware technology, focusing on compressing the raster portion of an image file, which represents almost the entire file size. Pixspan achieves best-in-class compression performance, significantly outpacing the performance of other mathematically lossless compression algorithms on image files. Pixspan compression generally saves 50% to 80% or more of storage space and transmission time for images produced by various industry verticals and raster formats including Bayer Pattern based camera raw images.
Pixspan compression can be incorporated into real time workflows that require high throughput and low latency, for example satellite image analysis and special effect artistry. In workflows like these, Pixspan compression is transparent to the analysts/artists, i.e. they are unable to detect that image compression is being employed throughout the IT infrastructure. This seamless experience is due to Pixspan's focus on providing the fastest decompression speeds.
Pixspan's algorithms do not employ DCT or wavelet steps, which consume large processing resources. As a result, Pixspan runs several times faster than other methods, requiring less computing to achieve the same speed.
Pixspan Software operates on any Intel or AMD based off-the-shelf server or virtual instance. It also can be hosted on an ARM-based Mac processor natively. Compression and decompression speeds can be further accelerated with CUDA-compatible GPUs. Approximate performance metrics for various compute platforms are shown in the following table: