Enhancement of Infrared Images Using Super Resolution Techniques Based on Big Data Processing

El‐Samie, Fathi E. Abd; Ashiba, Huda Ibrahim; Shendy, H.; Mansour, Hala M.; Ahmed, Hossameldin M.; Taha, Taha E.; Dessouky, Moawad I.; El-Kordy, M.; Abd‐Elnaby, Mohammed; El‐Fishawy, Adel S.

doi:10.1007/s11042-019-7634-0

Cited by 7 publications

(2 citation statements)

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“…The steps of the proposed approach single-image super resolution to corneal image can be summarized as follows [23]:…”

Section: The Proposed Approach Single-image Super Resolution Applied ...mentioning

confidence: 99%

Enhancement of Corneal Images using High Resolution Techniques

El-Hameed

Al-Hanafy

Ashiba³

et al. 2023

Preprint

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This paper presents an enhancement method to deal with the medical images which have low resolution as corneal images that have hexagonal nature and contain edges which must be preserved. So its resolution should be increased to help ophthalmologists to accurately diagnose and monitor diseases. Image interpolation is employed for resolution enhancement. In this paper, we consider interpolation techniques such as: polynomial interpolation, adaptive polynomial interpolation, inverse interpolation, and super-resolution (SR) reconstruction in order to enhance corneal image interpolation-based and learning-based techniques. The polynomial interpolation includes: bilinear, bicubic, cubic spline and cubic O-MOMS as well as their adaptive techniques. While the inverse interpolation techniques comprises linear minimum mean square error (LMMSE), maximum entropy, and a regularized image interpolation. Although polynomial based techniques are the most popular due to their simplicity, they don’t take into account the local activity levels of the image to be interpolated and cause a blurring effect in data. Interpolation is applied to each pixel to adapt for changing local activity levels, this adaptation reduces the blur effect and provides a better visual quality. Polynomial interpolation and its adaptive techniques are called signal synthesis techniques because they are based on the use of known neighborhoods to synthesize unknown pixel values. However, they did not meet the prerequisites of modern sampling theory in the interpolation process, so a pre-filtering step is required in the reconstruction process; a correction filter is needed before the interpolation process to compensate for the non-ideality of the image acquisition model. This correction filter is obtained as the inverse of the cross-correlation sequence between the acquisition model filter and the reconstruction filter, hence the inverse interpolation technique is applied which is superior where low image degradation model is taken into consideration. Finally the SR technique is proposed and compared to other previous techniques. Simulations are conducted to investigate the performance of the considered proposed techniques. It is shown that the adaptive polynomial image interpolation methods and inverse interpolation techniques give satisfactory results in terms of peak signal-to-noise ratio (PSNR), while the proposed SR technique is the most superior.

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“…The steps of the proposed approach single-image super resolution to corneal image can be summarized as follows [23]:…”

Section: The Proposed Approach Single-image Super Resolution Applied ...mentioning

confidence: 99%

Enhancement of Corneal Images using High Resolution Techniques

El-Hameed

Al-Hanafy

Ashiba³

et al. 2023

Preprint

Self Cite

View full text Add to dashboard Cite

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“…The sensors, keys and steering wheels mentioned above are the interfaces through which we talk to the devices, which are the most common human-machine interfaces in our daily lives, and can also be called human-computer interaction. From a theoretical point of view, interaction represents the use of information control and feedback to build a user experience, which requires the realisation of corresponding functions, and the use of the realisation of functions to complete the relevant activities expected by the user [12][13].…”

Section: Artistic Interactivitymentioning

confidence: 99%

The Design of Art Design System Based on Image Processing Technology

2023

IJAID

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Nowadays, the design of digital image processing technology is developing in the direction of art and personalisation. In line with this development trend, it is necessary to combine computer art design to complete the art design system. The aim of this paper is to study the design of an art design system based on image processing technology. The interactivity of art and image processing technology are analysed, and a synthetic image display algorithm is proposed for application in the art design system. The system development tools and the architecture of the system are presented. We conduct environmental art design experiments, and the experiments yield good results.

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