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Dynamic Photo HDR vs rawhdr

Dynamic Photo HDR

mediachance.com

rawhdr

github.com

Side by side

FigureDynamic Photo HDRrawhdr
Price from——
Free plan——
Free trial——
Open source——
WindowsYes—
Linux—Yes
API—Yes
Plans published10
Spec score · HDR Software7.8 (#6)6.5 (#16)
PurposeDynamic Photo HDR combines exposures to create HDR images and can also create an HDR look from a single image.rawhdr is a simple HDR image merger that converts multiple RAW files into a single HDR image.

Plans

Dynamic Photo HDR

  • Dynamic Photo HDR$59, paid once

Dynamic Photo HDR pricing →

rawhdr

No plans published.

rawhdr pricing →

In their own words

Dynamic Photo HDR

Dynamic Photo HDR is Windows software for merging exposures into HDR images or creating an HDR-style result from one image. It supports RAW files and provides tone mapping that ranges from smooth, natural treatments to dramatic or painterly effects. Source images can be aligned automatically, manually, or with auto-assist. An anti-ghosting mask lets users paint over moving objects in source shots, while batch processing queues images and can align them automatically. The editing toolkit includes effect layers and effects such as Orton, Sepia, Black/White, Vignette, and Mysterious Light. Real-time preview and advanced denoising are listed, along with Match Color for matching a tone-mapped image to another photo or painting. Output formats include JPG, PNG, BMP, TIF, Targa, 16-bit TIFF, and layered PSD. The product page identifies version 6.1, build 14/11/2017. It is described as a 64-bit Windows application, with a 32-bit version also linked. The listed price is $59 as a one-time purchase.

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rawhdr

rawhdr is a free command-line package for combining multiple RAW photographs into a high-dynamic-range image. It also performs focus stacking from multiple images. RAW input can use formats known by the rawpy library, while output can use HDR formats known by imageio. The resulting HDR exposure follows the first RAW file supplied. Installation is documented with pip install rawhdr, and a Python API is available for exposure merging and focus stacking. Its exposure-scaling helper leaves out extremely bright pixels that may be saturated and very dark pixels that may be noisy. OpenEXR writing may require the additional freeimage library through imageio. Python 3.7 or newer is required. PyPI classifies the package as OS Independent, with Linux and API listed as platforms. It is licensed under the GNU General Public License v2 or later. PyPI names Felix Thaler as author and maintainer.

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