Abstract
The Pan-Sharpening (PS) techniques provide a better visualization of a multi-band image using the high-resolution single-band image. To support their development and evaluation, in this paper, a novel, accurate, and automatic No-Reference (NR) PS Image Quality Assessment (IQA) method is proposed. In the method, responses of two complementary network architectures in a form of extracted multi-level representations of PS images are employed as quality-aware information. Specifically, high-dimensional data are separately extracted from the layers of the networks and further processed with the Kernel Principal Component Analysis (KPCA) to obtain features used to create a PS quality model. Extensive experimental comparison of the method on the large database of PS images against the state-of-the-art techniques, including popular NR methods adapted in this study to the PS IQA, indicates its superiority in terms of typical criteria.
Highlights
IntroductionThe acquired image quality differs depending on the used algorithms, as they provide different image sharpening qualities [2]
It is worth noticing that this dataset is the largest image collection of PS images assessed by human observers and can be employed to thoroughly compare PS methods as well as techniques used for their assessment
The statistical significance tests confirm the results shown in
Summary
The acquired image quality differs depending on the used algorithms, as they provide different image sharpening qualities [2] They can be divided into several categories based on the usage of component substitution (CS) [3,4], multiresolution analysis (MRA) [5], variational optimization (VO) [6], or deeplearning (DL) [7]. Among the PS approaches, the Hue Saturation Value (HSV) leads to the transformation of the R, G, and B bands of an MS image into HSV components This process replaces a value of the component with a panchromatic image and performs an inverse transformation to gain an MS image with high spatial resolution [8]. One of the most common fusion techniques used for sharpening is the Intensity-Hue-Saturation (IHS)
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