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Monocular depth estimation is a fundamental task for 3D scene geometry perception. Several state-of-the-art methods reformulate monocular depth estimation as a per-pixel classification-regression task to improve the model performance, where depth ...

This paper presents a new approach to enhancing color images by modifying an affine color assignment function. This function maps colors to pixels of the enhanced gray-scale image in a way that improves the visual quality of the image, ...

• Our method uses affine mapping to modify saturation and compensate for losses.
• New color mapping technique improves image quality, especially in dark regions.
• Modified color assignment step allows precise saturation control and ...

Retinal imaging often falls short in image quality due to limitations in imaging conditions. Issues such as low contrast and inadequate brightness are frequently encountered. However, fundus pictures play a crucial role in diagnosing various ...

Adaptive Histogram Equalization (AHE) and its contrast-limited variant CLAHE are well-known and effective methods for improving the local contrast in an image. However, the fastest available implementations scale linearly with the filter mask size,...$\mathcal{}\mathrm{}$

Solar panels are increasingly popular due to global energy shortages and rising costs. However, managing large or elevated panel systems requires regular oversight, leading to potential time and cost challenges. This study was focused on ...

Image contrast enhancement is a crucial computer vision step aiming to improve the quality of the visual information in processed images. In the literature, several proposed methods for image contrast enhancement are Histogram Equalization-based (...

Artificial intelligence techniques coupled with biomedical analysis have been play a critical role during COVID-19 pandemics as it helps to release the overwhelming pressure from healthcare systems and physicians. As the ongoing COVID-19 crisis ...

In this paper, a new interval-valued intuitionistic fuzzy-based algorithm is proposed to enhance low-light images. In this proposed algorithm, the low-light image is first changed to the fuzzy image by normal fuzzification. Then the above is ...

• This paper presents a novel low-light image enhancement network using a U-shaped enhanced lightening back-projection. The network architecture consists of a set of lightening blocks and a color balance block, which collectively contribute ...

Images captured under low-light conditions often have various issues, such as low brightness and contrast, and also color distortion. The aim of low-light image enhancement is to improve the visual quality of such images to facilitate subsequent ...

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• Consider the effect of peak pair selection on image quality.
• Select the optimal peak pair from the candidates dynamically.
• Design a weighting sum function with the metric score of each peak pair as input.
• Design an optimizer ...

Reversible data hiding with contrast enhancement (RDH-CE) enables contrast enhancement of the image and lossless recovery of host image after embedded data extraction. Although the current RDH-CE methods are effective in enhancing carrier images ...

• Proposed RWW-based NN for disease detection: a classifier, RWW-based NN is proposed by modifying the training algorithm of NN with RWW algorithm, which is ...

Rice diseases have degraded the production of the rice plant, which produces economic loss. To control and minimize the effects of attacks, the diseases are required to be recognized at a premature stage. Premature detection of ...

We developed an imaging technique for inspecting the inside of coal-fired boilers during operation by using a visible-light camera, which has a higher spatial resolution and depth of field than mid-infrared image sensor camera systems commonly ...

Because of complexity and low contrast in medical images, few enhancement techniques result unwanted artifacts and information loss by affecting the structure similarity and peak signal to noise ratio. To meet these challenges, a Directed ...

In breast cancer imaging, a poor quality nature image, especially one with low contrast, may provide insufficient data for visual interpretation of cancerous regions. Breast cancer survival rates are increasing as detection and analytical methods ...

Among the various types of cancer disease, a brain tumor is one of the most common causes of death; because the cerebrum is an extremely delicate, perplexing, and focal part of the body. Existing skull stripping processes do not accurately segment ...

The quality of medical images is critical for accurate diagnosis. This paper introduces a novel Quantum-behaved Arithmetic Optimization Algorithm (QAOA) for medical images. A mutation operator with Gaussian probability distribution is used in the ...

• A robust TSIHE method is proposed for slightly low contrast image enhancement, a less explored field in the literature.

In this paper, a neoteric tripartite sub-image histogram equalization method is proposed to enhance slightly low contrast gray-tone images, which is a less explored area in the literature. An image is decomposed into three sub-images ...

Infrared imaging technology has attracted numerous interests in military, security, transportation, etc. However, infrared images suffer from low contrast and blurry detail, limiting its application. To handle these issues, this paper presents a ...

In non-contrast computed tomography (CT) systems, acquired low contrast CT scans are a common issue that reduces clear visibility of the picture and resists the way of evoking its essential facts. As a result, an improved CT image enhancement ...

In the intelligent transport system, vehicle type classification technology plays a major role. With the growth of video processing and pattern recognition application, a deep learning model is proposed in this research article to improve vehicle ...