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Types of image compression
Types of image compression











  • LZW-Lossless compression that preserves all raster cell values.
  • PackBits- PackBits compression for TIFF files.
  • This compression can be used for JPEG 2000 files and geodatabases. The valid compression quality value ranges are from 0 to 100, with 75 being the default. If you choose JPEG2000, you can also specify the compression quality.
  • JPEG2000-Uses wavelet technology so rasters appear lossless.
  • This compression can be used for JPEG files, TIFF files, and geodatabases. If you choose JPEG, you can also specify the compression quality.
  • JPEG-Lossy compression that uses the public JPEG compression algorithm.
  • LERC-Lossless or lossy compression that divides the raster into a number of pixelīlocks, in which each pixel can be quantized and bit.
  • LZ77-Lossless compression that preserves all raster cell values.
  • Compression-Choose which compression method to use when storing your data.
  • This setting is used for tools that create raster datasets in ArcGIS.
  • The following table summarizes the valid compression types for each pixel depth: Valid compressions for each pixel depthĪs pixel depth increases, so does the efficiency of the compression algorithm.
  • The maximum error is a tolerance value that is applicable Stuffed, based on a number of block statistics, including

    types of image compression

    In which each pixel can be quantized and bit Method that can divide raster into a number of pixel

  • LERC compression is an image compression.
  • The default compression type is LZ77 and it works for all types of raster data.
  • If you don't explicitly set a value, the default will be used. Valid value ranges of compression quality are from 1 to 100. The values of the pixels of an image compressed with a higher compression quality will be closer to those of the original image.
  • If JPEG, JPEG_YCbCr, or JPEG2000 is selected, you can also set the compression quality to control how much loss the image will be subjected to by the compression algorithm.
  • JPEG compression only works for unsigned 8-bit raster data and unsigned 12-bit data (stored as 16-bit data).
  • File and enterprise geodatabases only support LZ77, JPEG, JPEG2000,.
  • types of image compression

  • When storing data in a geodatabase, compression occurs before storage in the geodatabase.
  • Lossy compression normally results in higher compression ratios when compared to lossless compression. The lower the compression quality, the higher the compression ratio. The more homogeneous the data, the higher the compression ratio. The amount of compression will depend on the data and compression quality. You should choose lossless or no compression if the pixel values of the raster dataset will be used for analysis or deriving other data products. Lossless compression means that the values of cells in the raster dataset are not changed or lost. When storing data in the geodatabase, the blocks of data are compressed before they are stored.ĭata compression can be lossy (JPEG and JPEG 2000) or lossless (LZ77, PackBits, CCITT). The primary benefits of compressing data are that compressed data requires less storage space, and data display times will be quicker because there is less information to transmit.ĪrcGIS can store compressed data in the following formats: IMG, JPEG, JPEG 2000, TIFF, Esri Grid, or in a geodatabase. ZIP/RAR – compression formats which allow multiple files to be compressed into a single file, which when decompressed will restore identical copies of the original data.Tools that honor the Compression environment will set the compression type when storing output raster datasets. For example, when storing data, text or applications. Used where the decompressed file should be identical to the original – for example when archiving, or where changes or loss to the data is unacceptable. MP3 and AAC – audio compression which discards sounds that would not be heard by the majority of people because they are masked by louder sounds. MPEG (H.264 etc) – video compression which uses JPEG for key frames, and then stores only the differences between successive frames, based on the expectation that usually there is little change from one frame to the next JPEG – an image format that removes ‘subtle’ details to simplify the data, and therefore represent it in a smaller space Never used for scientific data, numerical data, text or applications.
  • Lossless (the de-compressed file is identical to the original).
  • Lossy (information considered unimportant is discarded).
  • Compression is the process that is used to reduce the amount of space information takes to store.













    Types of image compression