HDR

tev – high dynamic range image comparison tool

tev is an open source high dynamic range (HDR) image comparison tool for graphics people.

tev allows viewing images through various tonemapping operators and inspecting the values of individual pixels. Often, it is important to find exact differences between pairs of images.

For this purpose, tev allows rapidly switching between opened images and visualizing various error metrics (L1, L2, and relative versions thereof). To avoid clutter, opened images and their layers can be filtered by keywords.

Key Features

  • Good command-line and GUI interfaces.
  • Playback controls. HDR image sequences can now be played back at a chosen framerate
  • Images can be filtered with regular expressions.
  • Histogram of image colors.
  • File formats supported:
    • EXR (via OpenEXR).
    • PFM (compatible with Netbpm).
    • HDR, BMP, GIF, JPEG, PIC, PNG, PNM, PSD, TGA (via stb_image).
      • stb_image only supports subsets of each of the aforementioned file formats.
      • Low-dynamic-range (LDR) images are “promoted” to HDR through the reverse sRGB transformation.
  • Console output.
  • Support for HiDPI scaling.
  • Cross-platform support – runs under Linux, macOS, and Windows.

Website: github.com/Tom94/tev
Support:
Developer: Thomas Müller
License: BSD 3-Clause “New” or “Revised” License

tev

tev is written in C++. Learn C++ with our recommended free books and free tutorials.


Related Software

HDR Imaging Software
RawTherapeeThe Experimental Raw Photo Editor
OpenEXRHDR image file format and HDR utilities
HuginPanorama photo stitching program
tevHigh dynamic range image comparison tool
HyperHDRAmbient lighting implementation for television and music sets
HDRViewDepth-map and high-dynamic range image viewer
Luminance HDRProvides a workflow for HDR imaging
RadianceLighting simulation and rendering system
HDRMergeCombine two or more raw images into a single raw
pfstoolsCommand line HDR manipulation programs
SimpleImageViewerHigh-performance image viewer
CinePaintWorks with 16-bit and floating point pixels for HDR imaging

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