Remote Sensing Image can be degraded by a variety of causes during acquisition, transmission, compression, storage and reconstruction. Noise is one of the most important degradation factors. Quantifying its impact on the image may be useful for applications such as improving the acquisition system and thus the quality of the produced images. Objective Image Quality Measure (IQA) methods can be classified by whether a reference image, representing the original signal exists. In the case of remote sensing, the ideal un-degraded image is not available. No-reference (NR) method is required to blindly assess the image quality. In this paper, a new no-reference algorithm is proposed to quantify noise based on local phase coherence (LPC). This algorithm assumes that the input image is contaminated by additive zero mean Gaussian noise. Firstly, a LPC map of degraded image is constructed and the image edge is extracted by modifying the noise threshold. Secondly, the edge is removed from the LPC map. Then, the noise level can be quantified by the remaining noise information and little “residual” information of the LPC map. Experiment results show that the proposed algorithm correlates well with subjective quality evaluations and has high estimation accuracy especially for Gaussian noise-infected images.
Theory about the Thermal Infrared Imaging Fourier Transform Spectrometer has been discussed,
and then we found the Interference efficiency is an important factor related to SNR of Thermal
Infrared Imaging Fourier Transform. The Interference efficiency involved in transverse shear
splitting. After study of this kind of beam splitting, some formulas about Thermal Infrared
Imaging Fourier Transform Spectrometer has been found, then the simulation modes were done.
At the end, Interference efficiency of Imaging Fourier Transform Spectrometer was calculated.
The relationship between interference efficiency and SNR was simply given.
The digital Fourier analysis method for optical MTF of IR imaging scanner is described and discussed in this paper. The method obtain the LSF by making use of the scanning function of the scanner itself besides the target slot and reflective collimator as well as the SPRITE detector and its read-out circuit which are practically used in IR image assembling process, and the MTF are calculated by DFT. The method makes a feature of simple equipment, easy operation and quick calculation.
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