The Affine Transforms for Image Enhancement in the Context of Logarithmic Models
This work addresses image enhancement for processing applications, but it appears incremental as it builds on existing logarithmic models with a specific parameter optimization approach.
The paper tackled the problem of image enhancement by proposing an affine transformation method using logarithmic operations, achieving automatic parameter determination through mean and variance computed via these operations.
The logarithmic model offers new tools for image processing. An efficient method for image enhancement is to use an affine transformation with the logarithmic operations: addition and scalar multiplication. We define some criteria for automatically determining the parameters of the processing and this is done via mean and variance computed by logarithmic operations.