DXT1 to EXR

Convert DXT1 to EXR (Fast & Free)

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How to convert DXT1 to EXR ?

  1. Select DXT1 files you want to convert, from your computer or drag and drop it on the page.
  2. Press the "Convert" button in order to convert DXT1 to EXR.
  3. When the conversion is completed, click "Download" on the desired converted EXR file.

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DXT1 to EXR

Useful information about DXT1

Extension: DXT1
Name: S3 Texture Compression - Dxt1
Mime Type: image/dxt
Converter: DXT1 Converter
Description: A DXT1 compressed image is an RGB image format. As such, the alpha of any color is assumed to be 1. Each 4x4 block takes up 64-bits of data, so compared to a 24-bit RGB format, it provides 6:1 compression. You can get a DXT1 image by using the as the internal format of the image. Each 4x4 block stores color data as follows. There are 2 16-bit color values, color0 followed by color1. Following this is a 32-bit unsigned integer containing values that describe how the two colors are combined to determine the color for a given pixel. The 2 16-bit color values are stored in little-endian format, so the low byte of the 16-bit color comes first in each case. The color values are stored in RGB order (from high bit to low bit) in 5_6_5 bits. The 32-bit unsigned integer is also stored in little-endian format. Every 2 bits of the integer represent a pixel; the 2 bits are a code that defines how to combine color0 and color1 to produce the color of that pixel. In order from highest bit to lowest bit (after the little-endian conversion), the pixels are stored in row-major order. Every 8 bits, 4 2-bit codes, is a single row of the image. - Source

Useful information about EXR

Extension: EXR
Name: OpenEXR File
Mime Type: image/exr
Converter: EXR Converter
Description: OpenEXR is a high-dynamic range, multi-channel raster file format, released as an open standard along with a set of software tools created by Industrial Light & Magic (ILM), under a free software license similar to the BSD license. It is notable for supporting multiple channels of potentially different pixel sizes, including 32-bit unsigned integer, 32-bit and 16-bit floating point values, as well as various compression techniques which include lossless and lossy compression algorithms. It also has arbitrary channels and encodes multiple points of view such as left- and right-camera images. - Source