Video quality and interpretability study using SAMVIQ and Video-NIIRS

Young, Darrell; Ruszczyk, Jeff; Bakir, Tariq

doi:10.1117/12.876730

Cited by 1 publication

(1 citation statement)

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“…RER measures the image sharpness and can be calculated by three different techniques: the slantededge method, the partial-reference technique, and the no-reference technique [15]. In the no-reference technique four various metrics, including Blind blur (BM), Edge Intensity (EI), Perceptual RER (PRER), and Frequency Ratio (FR), are calculated to estimate the RER value as follows [15]: 9) RER(FR) = -0.26 + 3×(FR) (1/4) (10) And the RER is the average value of the calculated RERs given in equations (7-10) as follows:…”

Section: Relative Edge Response (Rer)mentioning

confidence: 99%

Evaluation of jitter vibration-induced image interpretability degradation for remote sensing data using GIQE

Ali,

Omer,

Eltohamy

et al. 2023

J. Phys.: Conf. Ser.

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Remote sensing data plays an important role in various military and civilian applications. The quality of remote sensing data is the key to the success of these applications. remote sensing data are subjected to a variety of distortions from different sources, including acquisition, onboard compression, transmission, on-ground processing, and satellite vibrations. These distortions cause a great loss of image quality. In this paper, jitter vibration is modeled according to the modulation transfer function (MTF). Jitter-induced degradation is evaluated in terms of the National Imagery Interpretability Rating Scale (NIIRS), which is measured in terms of the general image quality equation (GIQE). A study on the third, fourth, and fifth versions of the GIQE is made using a remote sensing data set to select the appropriate version that could be used in evaluating the amount of jitter-induced degradation. The key result of this paper is that the fourth version of the GIQE is the most proper one in evaluating the amount of jitter-induced degradation.

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Section: Relative Edge Response (Rer)mentioning

confidence: 99%