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Clouds inhibit the features of images such as color and brightness in the image regions. The light diffusion, scattering and attenuation of clouds create blur effect or affect the contrast of the images. The interference of cloud over images degrades the quality of satellite images and tends to suppress the essential information in those images. Hence, the removal of clouds greatly help in the efficient...
In this paper, we present a comprehensive analysis and comparison of state-of-the-art Contrast Enhancement (CE) evaluation metrics. In this work, we developed a new database consisting of 182 images. The subjective experiments were performed to obtain a preference rating from different observers for the enhanced images using six CE methods selected from different representative categories. The quality...
In low luminance images (night scene), it suffers from various problems, e.g., low overall brightness, poor contrast and serious lack of information. However, in some scenario, strong light also appears in these images. In this case, the regions of high and low luminance both exist, which introduces a more complicated situation for image enhancement. In this paper, we present an enhancement method...
Hazy images hinder image understanding in many applications such as autonomous vehicle. In this paper, we propose an efficient method to improve image quality of hazy images. Our method estimates the transmission function based on a linear model that allows efficient computation and employs quadtree to search for a region that best represents the scatter of airlight. Experiments were conducted using...
The images, captured by camera, might suffer from poor contrast, saturation artefacts or improper brightness. Hence, image enhancement becomes an important step to improve the quality of image. Images are enhanced such that there is change in intensity or saturation component, keeping hue unchanged. Often, gamut problem arises when transforming from one plane to another. In this paper, the technique...
Underwater images are degraded mainly by light scattering and color distortion. Light scattering occurs because the light is reflected and deflected multiple times by the suspended particles in the water before reaching the camera. Color distortion is caused due to the absorption degrees vary according to the light wavelength. At last, the underwater images are dominated by a bluish tone. In this...
The multimedia devices, mobile phones and other palmtop devices are integral part of our day to day life. Image and video processing plays a key role in modern day information and communication technologies. Images captured from cameras needs enhancement for before using them in various applications. Noise removal, contrast improvement, and adjustment of brightness are common operations performed...
In this paper, a color image enhancement based on local processing approach is proposed. The proposed algorithm includes image enhancement in spatial domain. Image is treated locally, means enhancement operator is applied only where it is needed. Proposed method takes place in three steps; initially luminance of image is enhanced by a non-linear transfer function. In second step, contrast enhancement...
The paper proposes a method based on guided filter to enhance the driver face image under weak light environment. First, image is converted from RGB color space to HSV color space. Then based on the theory of Retinex algorithm, guided filter is applied to estimate the illumination, obtaining the reflection image which only contains the characteristics of the object. In order to restore the color of...
Histogram equalization (HE) is a popular techniques used for digital image enhancement. In case of Color image processing, brightness of the color is to be preserved. In this paper, author has taken an attempt to restore the skin color in the color image. Existing method for enhancement have been verified and implemented for restoration. The control parameter has also been formulated. According to...
Image enhancement is a key technology in digital image processing. In this paper, a novel algorithm based on Laplacian pyramid transformation is proposed for enhancing hue invariability of color images. On the premise of hue invariability, the N-level Laplacian pyramid transform on saturation component of HIS space is performed to improve the saturation. Contrast limited adaptive histogram equalization...
The existing low-light enhancement methods provide better enhancement results, and it cannot be implemented on the real-time processing due to the computational load. Also, these methods generate the unnatural artifacts such as noise amplification, color distortion and saturation problem. To solve this problem, this paper presents a fast adaptive binning method using local amplification ratio map...
Personalized and content-adaptive image enhancement can find many applications in the age of social media and mobile computing. This paper presents a relative-learning-based approach, which, unlike previous methods, does not require matching original and enhanced images for training. This allows the use of massive online photo collections to train a ranking model for improved enhancement. We first...
A highly overexposed color image is characterized by high brightness, low chromaticity and loss of detail. In this paper, a fuzzy based enhancement approach is developed to improve contrast and lightness. The brightness and color relative to the brightness of a similarly illuminated white are corrected by selecting the fuzzy operators. Hue, Saturation and intensity Value (HSV) color model is used...
The main objective of image enhancement is to improve the visual quality of digital images that are captured under extremely low or non-uniform lighting conditions. We present an adaptive image enhancement algorithm based on Zone System. This study reveals hidden image details and increases the contrast of an image with low dynamic range. It is comprised two processes: adaptive luminance enhancement...
Image enhancement is basically improving the interpretability or perception of information in images for human viewers and providing ‘better’ input for other automated image processing techniques. The principal objective of image enhancement is to modify attributes of an image to make it more suitable for a given task and a specific observer. This work addresses the implementation of image enhancement...
Integrated circuit (IC) defective image enhancement is very important for the classification and identification of IC real defects. This paper proposes a new algorithm of IC defect image enhancement. Firstly, histogram equalization is used in the IC defective image, which is to improve the contrast of image. Secondly, the image is transformed from RGB to IHS color space, and then space lightness is...
In this paper, a LED large screen real-time adaptive image enhancement algorithm is proposed. It can offset the changes in the outside light under complex illumination, to achieve the best visual effects in humans' eyes in real time.
The parameter-controlled virtual histogram distribution (PCVHD) method is proposed in this project to enhance the fusion image. This introduces a new hybrid image enhancement approach driven by both global and local processes on luminance and chrominance components of the image simultaneously the overall contrast and the sharpness of an image also increased. An original image creates equally distributed...
If the histogram equalization on the basis of Retinex theory is used to an image, an excessive enhancement or darkening of brightness may arise. Aimed at these problems, this paper presents a parabolic adjustment of image clearness algorithm, which is mainly based on Retinex theory, equalizing histogram with the aid of parabolic transfer function, while stretching the contrast of image. Experimental...
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