Illumination estimation is important for image enhancement based on Retinex. However since illumination an ill-posed problem it difficult to achieve accurate nonuniform images. The conventional algorithms fail comprehensively take all the constraints into consideration such as spatial smoothness sharp edges boundaries and limited range of illumination. Thus these cannot effectively efficiently estimate while preserving naturalness. In this paper we present a naturalness preserved algorithm...

Visible videos captured under different weather conditions may exhibit characteristics, and thermal infrared are easily affected by ambient temperature variations; this sensitivity to environmental makes the fusion of visible a challenge. This paper proposes an adaptive algorithm for videos, uses cumulative distribution gray levels entropy adaptively retain infrared-hot targets textures. The original frames decomposed into two layers, namely, base layer detail layer. guided filter is...

Single image fog removal is important for surveillance applications and many defogging methods have been proposed, recently. Due to the adverse atmospheric conditions, scattering properties of foggy images depend on not only depth information scene, but also aerosol model, which has more prominent influence illumination in a scene than that haze scene. However, recent confuse fog, they fail consider fully about properties. Thus, these are sufficient remove effects, especially maritime...

In order to optimize the task scheduling strategy in cloud environment, we propose a computing algorithm based on ant colony algorithm. The main goal of this is minimize makespan and total cost tasks, while making system load more balanced. paper, establish objective function costs define balance function. Meanwhile, also improve initialization pheromone, heuristic pheromone update method Then, some experiments were carried out Cloudsim platform, results compared with algorithms ACO Min-Min....

Single-image haze removal is important for many practical applications (e.g., surveillance). However, dehazed results of existing algorithms tend to be oversmoothed with missing fine image details. This drawback caused by two factors: inaccurate airlight estimations and disregarding multiple scattering. In this paper, we propose a detail-preserving dehazing algorithm based on key priors, namely, the depth-edge aware prior impact regularity prior. The proposed makes contributions in both step...

Remote sensing images play important roles in various earth surface observation applications. However, the hazy state of atmosphere can visually decrease contrast and availability remote images. In this paper, we propose a haze thin cloud removal method for single visible images, which aims to robustly estimate thickness, atmospheric light, transmission value from image with dense or cloud, finally recovers haze-free image. An elliptical boundary prior (EBP) is proposed transform thickness...

The tight sandstone reservoirs of the Lower Silurian Kepingtage Formation are important exploratory targets for gas resources in Shuntuoguole Low Uplift Tarim Basin. How to evaluate reservoir is an urgent problem be solved. In this study, we investigated effects diagenesis on heterogeneity deposits similar sedimentary facies and established relationship between diagenetic quality. Cores studied with thin section observation, SEM, XRD, mercury injection. Quantification influencing porosity...

Images captured in bad weather are affected by atmospheric scattering. To remove image degradation caused scattering, many defogging methods have been proposed. However, due to the lack of consideration high-frequency signal loss real-world fog (RF) images, few existing able enhance RF images that a large domain distance from mist or synthetic style feature space. Therefore, this paper, progressive translation network is proposed achieve coordination removal and target contour refinement for...

Color constancy is the ability to remove effect of illumination on color. Since color an ill-posed problem, many methods have been proposed based assumptions constraint solution space. However, most existing require specular pixels or abundant colors, and fail produce satisfactory results for different scenarios. According extensive experiments, we observe that chromaticity distribution within main under canonical illumination, which called pixels, linear can also locate position...

Foggy days limit the functionality of outdoor surveillance systems. However, it is still a challenge for existing methods to maintain uniformity defogging between image regions with similar depth field and large differences in appearance. To address above problem, this article proposes regional gradient constrained prior (RGCP) that uses piecewise smoothing characteristic scene structure achieve accurate estimation reliable constraint transmission. RGCP first derives when adjacent pixels fog...

Resource matching is one of the core functions grid resource management. Currently, algorithm mainly divided into two categories: performance indicated and cost algorithm. This paper use correlation matrix designed a constrained algorithm, which based on weighted Euclidean distance. The matlab simulation results show that can effectively find matched out in network environment.

In many enterprises, the work efficiency is suppressed by irrational allocation of enterprise resources.To solve problem, this paper puts forward optimal scheduling path algorithm for resource workflow (ERWOSA).To measure task each person after project issuance, ERWOSA models workflow, and quantifies node in model.Then, novel attributes like mean execution accuracy, time, weight were calculated.Based on calculation result, was solved, which highly accurate efficient.In way, manages to bring...

An interframe vector quantization scheme with finite memory called dynamic finite-state (DFSVQ) is presented. The encoding of a current input consists subcodebook, representing the best matchable code vectors, selected from larger codebook, i.e., supercodebook. choice for entries in supercodebook based on information obtained previously encoded blocks where directional conditional block probability matrices are used selection entries. adaptive DFSVQ also proposed which, when an vector, first...

Resource selection is the premise and foundation to ensure quality of resource scheduling in grid. Accurate reliability risk, credibility, real-time load filter can effectively success rate user's job. This paper use historical information resources, combined with designed a new approach Simulation experiments show that this select available set, improve reduce failure grid

In this paper, applying Normalized difference vegetation index (NDVI) to build double-difference model with TM images, identified the regions of newly-construction land expansion in Chongqing city. After be standardized, NDVI was applied model. Applying images year 1988, 2000 and 2007, process revealed base on The results indicate that change obvious city from 1988 2007.The total area quantity years small than 2007 region largest transformed Yubei district Dadukou district. speed slow fast...