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Abstract

In this work we propose a framework for image processing in a visual
response space, in which contrast values directly correlate with
their visibility in an image. Our framework involves a
transformation of an image from luminance space to a pyramid of
low-pass contrast images and then to the visual response space.
After modifying response values, the transformation can be reversed
to produce the resulting image. To predict the visibility of
suprathreshold contrast, we derive a transducer function for the
full range of contrast levels that can be found in High Dynamic
Range images. We show that a complex contrast compression operation,
which preserves textures of small contrast, is reduced to a linear
scaling in the proposed visual response space.