Storage and encoder settings

Comparison of different Source Connector settings and the influence on the output quality

When setting up source connectors, the storage and encoding settings have a heavy influence on the image quality.
This site will show you a comparison between different source formats, storage and encodings settings and how this will affect the image quality as well as the internal storage size. This comparison can be used for deciding which settings will fit your individual needs best.

Choose Image


  • BAG 1
  • BAG 2

  • Source File

    Choose from the options below to determine the format, compression and quality of your source images.

    Format

    TIF
    JPG
    PNG

     

    Compression

    LZW
    JPG

     

    1. Before
    2. After
  • Output File

    Choose from the options below to determine the output settings.

    Source Connector Settings

    Format

    LOSSLESS
    JPG

     

    JPEG Quality

    100
    98
    95
    92
    88
    84
    80
    75
    70
    60
    50
    40
    30
    20
    10

     
    Chroma Subsampling

    4:4:4
    4:2:2
    4:2:0

     
    Level Quality

    Ultra
    High
    Normal

     

    Encoder Settings

    Format

    PNG
    JPG

     

  • Comparision

    PSNR: XY

    Storage Size: XY

!TBD!PSNR:

The term peak signal-to-noise ratio (PSNR) is an expression for the ratio between the maximum possible value (power) of a signal and the power of distorting noise that affects the quality of its representation. Because many signals have a very wide dynamic range, (ratio between the largest and smallest possible values of a changeable quantity) the PSNR is usually expressed in terms of the logarithmic decibel scale.

Image enhancement or improving the visual quality of a digital image can be subjective. Saying that one method provides a better quality image could vary from person to person. For this reason, it is necessary to establish quantitative/empirical measures to compare the effects of image enhancement algorithms on image quality.

Using the same set of tests images, different image enhancement algorithms can be compared systematically to identify whether a particular algorithm produces better results. The metric under investigation is the peak-signal-to-noise ratio. If we can show that an algorithm or set of algorithms can enhance a degraded known image to more closely resemble the original, then we can more accurately conclude that it is a better algorithm.