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| Name: openexr-libs | Distribution: CentOS |
| Version: 3.1.1 | Vendor: CentOS |
| Release: 6.el9 | Build date: Sun Jun 28 14:28:36 2026 |
| Group: Unspecified | Build host: s390-06.stream.rdu2.redhat.com |
| Size: 4856388 | Source RPM: openexr-3.1.1-6.el9.src.rpm |
| Packager: builder@centos.org | |
| Url: https://www.openexr.com/ | |
| Summary: OpenEXR Libraries | |
OpenEXR is an open-source high-dynamic-range floating-point image file format for high-quality image processing and storage. This document presents a brief overview of OpenEXR and explains concepts that are specific to this format. OpenEXR Features: * High dynamic range and color precision. Support for 16-bit floating-point, * 32-bit floating-point, and 32-bit integer pixels. * Multiple image compression algorithms, both lossless and lossy. Some of the included codecs can achieve 2:1 lossless compression ratios on images with film grain. The lossy codecs have been tuned for visual quality and decoding performance. * Extensibility. New compression codecs and image types can easily be added by extending the C++ classes included in the OpenEXR software distribution. New image attributes (strings, vectors, integers, etc.) can be added to OpenEXR image headers without affecting backward compatibility with existing OpenEXR applications. * Support for stereoscopic image workflows and a generalization to multi-views. * Flexible support for deep data: pixels can store a variable-length list of samples and, thus, it is possible to store multiple values at different depths for each pixel. Hard surfaces and volumetric data representations are accommodated. * Multipart: ability to encode separate, but related, images in one file. This allows for access to individual parts without the need to read other parts in the file. * Versioning: OpenEXR source allows for user configurable C++ namespaces to provide protection when using multiple versions of the library in the same process space. The IlmBase Library: Also a part of OpenEXR, the IlmBase library is a basic, light-weight, and efficient representation of 2D and 3D vectors and matrices and other simple but useful mathematical objects, functions, and data types common in computer graphics applications, including the “half” 16-bit floating-point type.
BSD
* Fri Jun 26 2026 Josef Ridky <jridky@redhat.com> - 3.1.1-6 - fix CVE-2026-41142 - fix CVE-2026-42216 * Tue Apr 28 2026 Josef Ridky <jridky@redhat.com> - 3.1.1-5 - fix CVE-2026-34588 * Thu Mar 26 2026 Josef Ridky <jridky@redhat.com> - 3.1.1-4 - fix CVE-2026-27622 * Wed Oct 23 2024 Josef Ridky <jridky@redhat.com> - 3.1.1-3 - fix CVE-2023-5481 (RHEL-23879)
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Fabrice Bellet, Thu Jul 30 03:59:28 2026