Book ChapterDOI
Adaptive Infrared Images Enhancement Using Fuzzy-Based Concepts
S. Rajkumar,Praneet Dutta,Advait Trivedi +2 more
- pp 119-128
TLDR
This proposal aims to enhance infrared images, making use of the fuzzy-based enhancement technique (FBE), and to compare its efficacy with other techniques such as histogram equalization (HE), adaptive histogramequalization (AHE), max–median filter, and multi-scale top-hat transform.Abstract:
Image enhancement is the process of modifying digital images so that results are suitable for human perception. An upcoming need for image visualization during all lighting conditions by the use of infrared (IR) imagery has gained momentum. It is deemed fit for efficient target acquisition and object deduction. However, due to low image resolution and difficulty in spotting certain objects whose temperature is similar to that of the ground, infrared images must be subjected to further enhancement. Our given proposal aims to enhance infrared images, making use of the fuzzy-based enhancement technique (FBE), and to compare its efficacy with other techniques such as histogram equalization (HE), adaptive histogram equalization (AHE), max–median filter, and multi-scale top-hat transform. The enhanced image is then analyzed using different quantitative metrics such as peak signal-to-noise ratio (PSNR), image quality index (IQI), and structural similarity (SSIM) for performance evaluation. From experimental results, it is concluded that FBE results in the best quality image.read more
Citations
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Application of visualization modeling technology in the determination of reinforcement range of deep soft soil foundation
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Range-restricted pixel difference global histogram equalization for infrared image contrast enhancement
TL;DR: In this paper, a 2D difference information between two adjacent pixels is introduced for infrared image histogram calculation and its calculation is achieved by a reasonable difference threshold. And to preserve detail edges, the adaptive plateau HE on 2D Difference Information-related histogram.
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Cloud-based data security transactions employing blowfish and spotted hyena optimisation algorithm
TL;DR: In this paper , the authors proposed a security-aware information transfer in the cloud based on the blowfish algorithm (BFA) to address the issue of unauthorized access to information data security architecture.
References
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TL;DR: It is concluded that clipped ahe should become a method of choice in medical imaging and probably also in other areas of digital imaging, and that clip ahe can be made adequately fast to be routinely applied in the normal display sequence.
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Introduction to data compression
TL;DR: The author explains the development of the Huffman Coding Algorithm and some of the techniques used in its implementation, as well as some of its applications, including Image Compression, which is based on the JBIG standard.