TEV

TEV is a high dynamic range image viewing application built for users who need accuracy in color management. TEV starts instantly and loads hundreds of images in seconds. It correctly interprets HDR formats and color profiles like ICC and CICP. It displays HDR content on all operating systems. TEV supports numerous file formats, histograms, pixel inspection, tone mapping, and error metrics.

★★★★★

5.0(1 ratings)

• Cross-platform HDR viewing. Rendering of high dynamic range images on all operating systems with correct handling of ICC color profiles and CICP tags. Maintains color fidelity on HDR-capable displays.
• Extended format support. Compatibility with EXR, PNG, TIFF, JPEG, WebP, HEIF formats and camera RAW files. Handles 16, 32, and 64-bit floating point data in TIFF images.
• Histogram analysis. Histogram tools to evaluate tonal distribution and detect clipping in individual color channels. Allows adjustment of display ranges.
• Pixel inspection. Detailed examination of individual pixel values with precise coordinates. Displays numerical values per channel in different color spaces.
• Tone mapping operations. Transformation of HDR images to LDR representation using multiple tonemapping operators. Parameter adjustment for different scenes.
• Error metrics. Calculation of differences between images using PSNR, MSE, and SSIM metrics. Quantitative comparison of visual quality between versions.
• Multi-image interface. Simultaneous management of hundreds of images in a single session. Quick switching between files via navigation panel and filtered search.
• Zoom and precise navigation. Magnification control with increments in powers of two. Smooth navigation through high-resolution images without performance loss.
• Metadata extraction. Reading EXIF information from RAW files and technical data from specialized formats. Visualization of capture and processing parameters.
• Comparison operations. Side-by-side image viewing with difference overlay. Blend and difference modes for detailed comparative analysis.
• Exposure adjustment. Interactive modification of exposure levels in HDR images. Precise brightness control without loss of highlight information.
• Advanced color management. Correct interpretation of color spaces and transformations between them. Support for ICC profiles embedded in different formats.
• Clipboard interaction. Copying and pasting images directly to and from the application. Quick exchange of visual content between applications.

Development of TEV began in 2017 by Thomas Müller as a specialized tool for viewing HDR images in rendering pipelines. The program is written in C++ with native graphical interfaces for Windows, macOS, and Linux. The implementation uses parallel processing techniques and efficient memory management to handle large volumes of image data. Continuous updates have expanded format capabilities and optimized system resource consumption.

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