Contrast" operations, and it is possible to create others as well. 1This is sometimes referred to as Quantization, which is described in the Glossary. GNU Image Manipulation Program 249 / 653 13.2.5 Histogram estimation filter), as edge enhancement is the direct opposite of smoothing. For reducing color quantization noise in images (ie. turning .gif files back into 24 bit files) you could try a pass of the optimal of information makes it very difficult to maintain up-to-date support for PSD files. Q Quantization Quantization is the process of reducing the color of a pixel into one of a number of fixed values by

different application. Use quality settings from original image If a particular quality setting (or “quantization table”) was attached to the image when it was loaded, then this option allows you to use them same quality and file size as the original image. This will minimize the losses caused by the quantization step, compared to what would happen if you used different quality setting. If the quality setting it will approximate them by using the nearest color available. This is sometimes referred to as Quantization. If the colormap is too limited or poorly chosen, this can easily produce very poor image quality

image. You can choose between two different color spaces: CIE or RGB. You can check Principal Quantization if you want the filter to Quantize to slightly different colors. Which method to use depends on linear operation is reversible, but in practice a few nonlinear oper- ations (like clipping and quantization) are involved, which limit the reversibility. As for any linear system, a frequency response can