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[IEEE 2018 2nd International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech) - Kolkata (2018.5.4-2018.5.5)] 2018 2nd International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech) - Nondestructive testing image enhancement based on a bag of enhancement functions and Bat algorithm
摘要： Nondestructive Testing image (NDT) has a wide range of applications in industry. Enhancing the visual quality of an NDT image is dif?cult and it is a challenging domain of research. In this paper, we propose a novel method for NDT image enhancement. In the proposed method a bag of enhancement functions is combined to generate an ef?cient enhancement function for the NDT image. The enhancement function is generated adaptively by taking into consideration the statistics of the NDT image in hand. To speed up the process of combination in the proposed method, we use evolutionary Bat algorithm. The Bat algorithm generates the optimal enhancement function using the bag. The performance of the proposed method is found to be superior to that of the stare-of-the-art methods for NDT image on standard data set.
关键词： image enhancement,enhancement function,Bat algorithm,NDT image
更新于2025-09-09 09:28:46
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Analyzing pre-processing filters sequences for underwater-image enhancement
摘要： Enhancement of the quality of a digital image is desirable in several scenarios such as underwater-image analysis, where improving visibility is necessary to reduce alterations caused by unbalanced lighting and the presence of sediments, among others. Many algorithms have been proposed oriented towards treatment of specific factors, such as contrast, color fidelity, noise, and lighting. This work explores the literature techniques and establishes a filter sequence for enhancing underwater images based on a pre-established quality metric. The resulting sequence begins by balancing the lighting using homomorphic filtering, improve the contrast by the Contrast Limited Adaptive Histogram Equalization (CLAHE) algorithm, and finally noise reduction and edge enhancement are done by using bilateral filtering. The results of the implementation suggest a qualitative improvement, in contrast, color, and sharpness of borders.
关键词： Underwater Image Enhancement,Image Processing,Contrast,Fish,Algorithms
更新于2025-09-09 09:28:46
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Comparative study of image enhancement techniques using histogram equalization on degraded images
摘要： Image Enhancement technique plays a vital role in digital image processing for making an image to be useful for various applications. This technique is used to improve the quality of degraded images. Usually, the degradation is not evenly spread throughout the image, but most of the time it varies from region to region. Our aim is to first identify the region where enhancement is required and improve that region without disturbing its neighbourhood which does not require any improvement.
关键词： Image Histogram,Contrast Limited Adaptive Histogram Equalization (CLAHE),Image Enhancement,Histogram Equalization (HE)
更新于2025-09-09 09:28:46
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[IEEE 2018 37th Chinese Control Conference (CCC) - Wuhan (2018.7.25-2018.7.27)] 2018 37th Chinese Control Conference (CCC) - Fusion of multi-resolution visible image and infrared images based on guided filter
摘要： Because of the poor lighting conditions at night time, visible images are often fused with corresponding infrared images for enhancement of the scenes in night vision. In this paper, a novel image fusion algorithm is presented for fusion of visible image and infrared image with different resolutions. The multiresolution image fusion is carried on by the following ?ve steps: 1) different resolution images are transformed into the same resolution by use of wavelet transform; 2) to enhance the visibility of dark region content in the decomposed visible image, a novel night-vision enhancement method is presented based on guided ?lter; 3) the infrared image information is injected into the visible image through a multi-scale fusion approach based on guided ?lter; 4) inverse wavelet transform is used to achieve the fusion image; 5) to further improve the visibility of the fusion image, it is enhanced by use of an adaptive enhancement method.
关键词： Image Fusion,Different Resolution,Guided Filter,Image Enhancement
更新于2025-09-09 09:28:46
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A Fast Image Dehazing Algorithm Using Morphological Reconstruction
摘要： Outdoor images are used in a vast number of applications, such as surveillance, remote sensing, and autonomous navigation. The greatest issue with these types of images is the effect of environmental pollution: haze, smog, and fog originating from suspended particles in the air, such as dust, carbon and water drops, which cause degradation to the image. The elimination of this type of degradation is essential for the input of computer vision systems. Most of the state-of-the-art research in dehazing algorithms is focused on improving the estimation of transmission maps, which are also known as depth maps. The transmission maps are relevant because they have a direct relation to the quality of the image restoration. In this paper, a novel restoration algorithm is proposed using a single image to reduce the environmental pollution effects, and it is based on the dark channel prior and the use of morphological reconstruction for the fast computing of transmission maps. The obtained experimental results are evaluated and compared qualitatively and quantitatively with other dehazing algorithms using the metrics of the Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity (SSIM) index; based on these metrics, it is found that the proposed algorithm has improved performance compared to recently introduced approaches.
关键词： Dark channel prior,Morphological operations,Single-image dehazing,Image enhancement
更新于2025-09-09 09:28:46
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A Smart System for Low-Light Image Enhancement with Color Constancy and Detail Manipulation in Complex Light Environments
摘要： Images are an important medium to represent meaningful information. It may be difficult for computer vision techniques and humans to extract valuable information from images with low illumination. Currently, the enhancement of low-quality images is a challenging task in the domain of image processing and computer graphics. Although there are many algorithms for image enhancement, the existing techniques often produce defective results with respect to the portions of the image with intense or normal illumination, and such techniques also inevitably degrade certain visual artifacts of the image. The model use for image enhancement must perform the following tasks: preserving details, improving contrast, color correction, and noise suppression. In this paper, we have proposed a framework based on a camera response and weighted least squares strategies. First, the image exposure is adjusted using brightness transformation to obtain the correct model for the camera response, and an illumination estimation approach is used to extract a ratio map. Then, the proposed model adjusts every pixel according to the calculated exposure map and Retinex theory. Additionally, a dehazing algorithm is used to remove haze and improve the contrast of the image. The color constancy parameters set the true color for images of low to average quality. Finally, a details enhancement approach preserves the naturalness and extracts more details to enhance the visual quality of the image. The experimental evidence and a comparison with several, recent state-of-the-art algorithms demonstrated that our designed framework is effective and can efficiently enhance low-light images.
关键词： naturalness preservation,Retinex theory,image enhancement,color constancy,camera response framework,low illumination
更新于2025-09-09 09:28:46
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Guidelines for Underwater Image Enhancement Based on Benchmarking of Different Methods
摘要： Images obtained in an underwater environment are often affected by colour casting and suffer from poor visibility and lack of contrast. In the literature, there are many enhancement algorithms that improve different aspects of the underwater imagery. Each paper, when presenting a new algorithm or method, usually compares the proposed technique with some alternatives present in the current state of the art. There are no studies on the reliability of benchmarking methods, as the comparisons are based on various subjective and objective metrics. This paper would pave the way towards the definition of an effective methodology for the performance evaluation of the underwater image enhancement techniques. Moreover, this work could orientate the underwater community towards choosing which method can lead to the best results for a given task in different underwater conditions. In particular, we selected five well-known methods from the state of the art and used them to enhance a dataset of images produced in various underwater sites with different conditions of depth, turbidity, and lighting. These enhanced images were evaluated by means of three different approaches: objective metrics often adopted in the related literature, a panel of experts in the underwater field, and an evaluation based on the results of 3D reconstructions.
关键词： automatic colour equalization,3D reconstruction,non-local dehazing,benchmark,lab,colour correction,screened poisson equation,CLAHE,underwater image enhancement,dehazing
更新于2025-09-09 09:28:46
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An image-enhancement method based on variable-order fractional differential operators
摘要： In this study, we develop a new algorithm based on fractional operators of variable-order in order to enhance image quality. First, three kinds of popular high-order discrete formulas are adopted to obtain the coefficients, and subsequently, a mask optimization method for selecting the fractional order adaptively is applied to construct a variable-order fractional differential mask along with the coefficients generated from the first step. We carry out experiments on OCT thoracic aorta images and some nature images with low contrast and noise, demonstrating that the high-order discrete method leads to significantly better performance in enhancing the edge information nonlinearly compared to the standard first-order discrete method. Moreover, the optimized mask with variable-order of the fractional derivative not only can preserve the edge information of the processed images adequately, but it also effectively suppresses the noise in the smooth area.
关键词： mask optimization,variable-order,fractional differential operator,Image enhancement
更新于2025-09-09 09:28:46
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Storz Professional Image Enhancement System: A New Technique to Improve Endoscopic Bladder Imaging
摘要： Introduction: SPIES is a novel endoscopic imaging technique with different modalities. Chroma enhances the sharpness of the displayed image. Clara uses a local brightness adaptation in the image to achieve a clearer visibility of darker regions within the image. SPIES Spectra A and B are based on color tone shift algorithms to increase contrast. Objectives: To describe the different SPIES modalities and to test them on bladder tissue images and tissue simulating phantoms with controlled optical properties. Materials and methods: A bladder tumor image in both Chroma and Clara is analyzed on contrast related intensity fluctuations compared to the White Light image. To evaluate Spectra A and B, a validated tissue representing optical phantom model was used. Results: Intensity fluctuations show the effect of the Chroma and Clara mode compared to White light. The SPIES A and B modalities change the effective spectral response in the imaging system. This was shown and measured in the phantom model by an increased absorbance for the superficial layers (Spectra A) and the deeper layers (Spectra B). Conclusion: All SPIES modalities show visual and quantitative differences, expressed as increased image intensity or pixel-to-pixel intensity difference (Chroma and Clara) or increased contrast (Spectra A and B).
关键词： SPIES,Cystoscopy,Endoscopy,Image enhancement
更新于2025-09-09 09:28:46
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Image Enhancement of Wireless Capsule Endoscopy Frames Using Image Fusion Technique
摘要： Volume restriction, low battery capacity and low focal length camera in Wireless Capsule Endoscopy (WCE) result in images being of lower contrast, darkness, un-even brightness and image degradations. In this paper, a Laplacian pyramid based Image fusion of Contrast Limited Adaptive Histogram Equalization (CLAHE) and Multi-Scale Retinex with Colour Restoration (MSRCR) to integrate information of both techniques have been proposed. The proposed technique combines the information from CLAHE and MSRCR, reduces uncertainties, redundancy and maximizes the information. Experimental evaluation reveals that the proposed method outperforms existing methods in terms of Peak Signal to Noise Ratio and Structural Similarity Index Measure.
关键词： Image enhancement,Image fusion,Image quality metrics,Wireless capsule endoscopy,Retinex,Laplacian pyramid
更新于2025-09-04 15:30:14