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Laplacian and gaussian pyramid based multiscale fusion for nighttime image enhancement
We present a streamlined and effective fusion-based approach for enhancing images with low illumination, utilizing a combination of well-established...
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Brightness-controlled enhancement for soil image based on conic curve
Soil images collected under different illumination conditions can be enhanced with a brightness-controlled enhancement algorithm, so that the result...
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Low-light image enhancement base on brightness attention mechanism generative adversarial networks
With the development of the field of deep learning, image recognition, enhancement and other technologies have been widely used.However, dark...
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Image encryption scheme based on double permutation and DNA
This paper mainly contributes a bit-level and pixel-level double-permutation image encryption scheme based on DNA coding technology, which can...
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Discriminative feature encoding for intrinsic image decomposition
Intrinsic image decomposition is an important and long-standing computer vision problem. Given an input image, recovering the physical scene...
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Texture-guided CNN for image denoising
Convolutional neural networks (CNNs) can effectively extract structural information in image denoising. However, they tend to ignore texture...
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Underwater image enhancement algorithm based on color correction and contrast enhancement
Due to the complex underwater environment and the selective absorption and scattering effect of water on light waves, underwater images often suffer...
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Fixing algorithm of Kinect depth image based on non-local means
The three-dimensional (3D) geometrical information that depth maps contain is useful in many applications such as 3D reconstruction or simultaneous...
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MaCo: efficient unsupervised low-light image enhancement via illumination-based magnitude control
This paper presents a novel low-light image enhancement (LLIE) method based on magnitude control (MaCo). Our method establishes a relationship...
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A novel medical image enhancement algorithm based on CLAHE and pelican optimization
Medical image enhancement is considered a challenging image-processing framework because the low quality of images resulting after acquisition and...
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Zero-reference single underwater image enhancement
Underwater images play an essential role in acquiring and analyzing underwater information. Autonomous Underwater Vehicles (AUVs) highly rely on the...
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A grayscale image enhancement algorithm based on dense residual and attention mechanism
Deep learning shows great potential in low-light image enhancement, which can improve image brightness and contrast while kee** image natural....
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Fine-grained image emotion captioning based on Generative Adversarial Networks
Image captioning, which combines natural language processing and computer vision, has developed rapidly in recent years. It tends to be applied in...
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A color edge extraction method on color image
In the field of medical image recognition, industrial defect detection and other fields, because it is impossible to extract the edge of the color...
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TCPCNet: a transformer-CNN parallel cooperative network for low-light image enhancement
Recently, deep learning has made impressive achievements in low-light image enhancement. Most existing deep learning-based methods use convolutional...
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Image synthesis from an ethical perspective
Generative AI has gained a lot of attention in society, business, and science. This trend has increased since 2018, and the big breakthrough came in...
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Self-Enhanced Attention for Image Captioning
Image captioning, which involves automatically generating textual descriptions based on the content of images, has garnered increasing attention from...
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FBGAN: multi-scale feature aggregation combined with boosting strategy for low-light image enhancement
Most of the existing low-light image enhancement methods focus only on enhancing the overall image brightness, ignoring the image details during the...
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Efficient and natural image fusion method for low-light images based on active contour model and adaptive gamma correction
Image fusion-based methods have received much attention in image processing applications in recent years. In this paper, an efficient and natural...
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Copy–move forgery detection in digital image forensics: A survey
The detection of copy-move forgeries has been of utmost relevance in the field of digital image forensics because of the explosive growth of image...
