Global Color Research Articles

Geology of Tolstoj quadrangle (H08), Mercury

ABSTRACT Tolstoj quadrangle (H08) is located in the equatorial area of Mercury, between 22.5°N and 22.5°S and 144° and 216°E. Using the NASA/MESSENGER data, we compiled a geological map of the quadrangle at a scale of 1:3.000.000. The main basemap we used was the MDIS 166 m/pixel BDR mosaic. In addition, mosaics with high-incidence illumination from west and east, MDIS global color mosaics, and the MDIS global DEM have been taken into account. In the map, we considered three feature classes: geological units, lineaments, and surface features. Geological units consist of crater material and plains. Lineaments include crater and pit rims, and structures. Finally, surface features are subdivided into crater chains or clusters, hollows, faculae, bright and dark material. The geological map will be integrated into the global 1:3M geological map of Mercury, which is being prepared in support to the ESA/JAXA BepiColombo mission.

Palette‐Based Recolouring of Gradient Meshes

AbstractGradient meshes are a vector graphics primitive formed by a regular grid of bicubic quad patches. They allow for the creation of complex geometries and colour gradients, with recent extensions supporting features such as local refinement and sharp colour transitions. While many methods exist for recolouring raster images, often achieved by modifying an automatically detected palette of the image, gradient meshes have not received the same amount of attention when it comes to global colour editing. We present a novel method that allows for real‐time palette‐based recolouring of gradient meshes, including gradient meshes constructed using local refinement and containing sharp colour transitions. We demonstrate the utility of our method on synthetic illustrative examples as well as on complex gradient meshes.

Critique beyond relation: The stakes of working with the negative, the void and the abyss

AbstractThe ‘relational turn’ has been widely embraced in Human Geography and related fields over the last couple of decades as an alternative to the hubris of modern and colonial reasoning. Yet, increasingly, concerns over the extent that contemporary conceptualisations are overly ‘generative’, ‘productivist’ and ‘affirmational’ has come to the fore. There is significant interest in the possibilities for more negative understandings, highlighting failure, attrition, voiding, exhaustion, impotentiality, incompleteness and attributes of ‘non‐relation’. We draw out how, to date, most of these approaches have developed a hermeneutic approach, seeking to bring the negative and the non‐relational into the world as forces of disruption and refusal, holding open other possibilities of knowing and being in the world and enabling alternative political imaginaries. This paper seeks to outline an alternative mode of critique, one that places both relational and negative approaches under the scrutiny of an ‘abyssal’ approach. Here, after Fanon, the world violently forged into the global colour line is bifurcated via the construction of the modern subject, capable of reading itself as a subject in the world and through Human Geography as a field of study. In this always already antiblack world, the goal of ‘Abyssal Geography’ is not to continue worlding the modern subject in new ways, but to analyse and critique the mechanisms and shifts in critical thought through which Human Geography continues to salvage and to redeem the purchase of the modern subject and the world.

DCPNet: Deformable Control Point Network for image enhancement

In this paper, we present a novel image enhancement network consisting of global and local color enhancement. The proposed network model is constructed using global transformation functions, which are formed by a set of piece-wise quadratic curves and a local color enhancement network based on the encoder–decoder network. To adaptively and dynamically control the ranges of each piece-wise curve, we introduce deformable control points (DCPs), which determine the overall structure of the global transformation functions. The parameters for piece-wise quadratic curve fitting and DCPs are estimated using the proposed DCP network (DCPNet). DCPNet processes a down-sampled image to derive the DCP parameters: The DCP offsets and the curve parameters. Then, we obtain a set of DCPs from the DCP offsets and connect each adjacent DCP pair by using the curve parameter to construct a global transformation function for each color channel. The original input images are then transformed based on the resulting transformation functions to obtain globally enhanced images. Finally, the intermediate image is fed into the local enhancement network, which has a U-Net architecture, to produce the spatially enhanced images. Extensive experimental results demonstrate the superiority of the proposed method over state-of-the-art methods in various image enhancement tasks, such as image retouching, tone-mapping, and underwater image enhancement.

An ultra-high-definition multi-exposure image fusion method based on multi-scale feature extraction

Multiple exposure image fusion is a technique used to obtain high dynamic range images. Due to its low cost and high efficiency, it has received a lot of attention from researchers in recent years. Currently, most deep learning-based multiple exposure image fusion methods extract features from different exposure images using a single feature extraction method. Some methods simply rely on two different modules to directly extract features. However, this approach inevitably leads to the loss of some feature information during the feature extraction process, thus further affecting the performance of the model. To minimize the loss of feature information as much as possible, we propose an ultra-high-definition (UHD) multiple exposure image fusion method based on multi-scale feature extraction. The method adopts a U-shaped structure to construct the overall network model, which can fully exploit the feature information at different levels. Additionally, we construct a novel hybrid stacking paradigm to combine convolutional neural networks and Transformer modules. This combined module can extract both local texture features and global color features simultaneously. To more efficiently fuse and extract features, we also design a cross-layer feature fusion module, which can adaptively learn the correlation between features at different layers. Numerous quantitative and qualitative results demonstrate that our proposed method performs well in UHD multiple exposure image fusion.

A Texture-Considerate Convolutional Neural Network Approach for Color Consistency in Remote Sensing Imagery

Remote sensing allows us to conduct large-scale scientific studies that require extensive mapping and the amalgamation of numerous images. However, owing to variations in radiation, atmospheric conditions, sensor perspectives, and land cover, significant color discrepancies often arise between different images, necessitating color consistency adjustments for effective image mosaicking and applications. Existing methods for color consistency adjustment in remote sensing images struggle with complex one-to-many nonlinear color-mapping relationships, often resulting in texture distortions. To address these challenges, this study proposes a convolutional neural network-based color consistency method for remote sensing cartography that considers both global and local color mapping and texture mapping constrained by the source domain. This method effectively handles complex color-mapping relationships while minimizing texture distortions in the target image. Comparative experiments on remote sensing images from different times, sensors, and resolutions demonstrated that our method achieved superior color consistency, preserved fine texture details, and provided visually appealing outcomes, assisting in generating large-area data products.

Racialising Refugees: The Global Colour Line in US Resettlement

Abstract Following the 2021 Taliban takeover of Afghanistan and the 2022 Russian invasion of Ukraine, there were notable differences in access to resettlement and other pathways of humanitarian migration. Drawing on an analysis of statements by US policymakers, this article considers the global context and implications of the disparate language and approaches used in responses to Afghan and Ukrainian displacement. It shows how racialised and gendered narratives contributed to and were constituted within a broader international hierarchy and global colour line. The positioning of Ukrainians as possessing higher civilisational attributes deserving of solidarity and support, and their portrayal through prisms of strong agency, sovereignty, and kindred Western values, echoed across transnational constructions of collective white identity. In contrast, Afghan resettlement was rendered conditional on extensive security vetting and proof of loyal service to US and NATO missions in Afghanistan. Portrayals of Afghans as less assimilable, as potential terrorist infiltrators, as incapable of self-governance and unable to generate their own progress perpetuated features of the global colour line. Attending to the different logics used to construct refugee and parolee groups and policies broadens our understanding on how multilayered processes of Orientalism and racialisation shape resettlement and disparities in access to protection.

Du Boisian sociology after Du Bois: Frazier, St Clair Drake, and the global and comparative study of race and empire

AbstractIn this paper, I focus on two thinkers who I contend can be read as Du Boisian sociologists: Franklin Frazier and John Gibbs St. Clair Drake. I argue that both Frazier and Drake are often (mis)represented as being ethnographic sociologists of racism in the American inner city who owe their intellectual training and lineage to the Chicago School. By contrast, I argue that Frazier and Drake, while interested in race in the American inner city, both viewed American racism as only one piece in a global jigsaw puzzle; both advocated for comparative and historical sociologies of race and empire which would highlight—to quote Frazier (1973, 339)—that although racism “in the United States has many unique features, it is […] a phase of a world process.” Excavating this world process, to both Frazier and Drake, necessarily entailed studying the global color line beyond its expression only in the United States. Frazier and Drake ought to be read, therefore, primarily as Du Boisian sociologists, not simply as parochial ethnographers of the inner city. The data for this paper come from the Du Bois, Frazier, and Drake papers housed in archives at the University of Massachusetts‐Amherst, Howard University, and the Schomburg Centre.

Joint Luminance Adjustment and Color Correction for Low-Light Image Enhancement Network

Most of the existing low-light enhancement research focuses on global illumination enhancement while ignoring the issues of brightness unevenness and color distortion. To address this dilemma, we propose a low-light image enhancement method that can achieve good performance in luminance adjustment and color correction simultaneously. Specifically, the Luminance Adjustment Module is designed to model the global luminance adjustment parameters while taking into account the relationship between global and local illumination features, in order to prevent overexposure or underexposure. Furthermore, we design a Color Correction Module based on the attention mechanism, which utilizes the attention mechanism to capture global color features and correct the color deviation in the illumination-enhanced image. Additionally, we design a color loss function based on a 14-dimensional statistical feature vector related to color, enabling further restoration of the image’s true color. We conduct empirical studies on multiple public low-light datasets, demonstrating that the proposed method outperforms other representative state-of-the-art models regarding illumination enhancement and color correction.

Assessing chemical composition variations on vintage, vineyard location and grape ripeness: A regional study of red wines produced in the colorado river middle basin, La Pampa (Argentina)

This work aimed to characterize chemical composition of Malbec and Cabernet Franc red wines from two different regions of La Pampa’s province, which stands out as one of the youngest wine-producing regions in Argentina and has remained unexplored until now. These wines were produced from grapes of two consecutive vintages (2021 and 2022), and were harvested at two different ripeness levels. Global phenolic parameters, colour characterization and multi-elemental profile were evaluated. Multivariate statistical approaches were successfully implemented to investigate the vintage and ripeness effects on chemical profile of red wines and characterize them based on regional variations. Our results showed that vintage and ripeness affected both phenolic and multi-elemental profiles, and such chemical variables allowed the wines differentiation according to region. The results of this first study could form the basis for future research into optimizing the region’s winemaking potential.

Modified snake optimizer based multi-level thresholding for color image segmentation of agricultural diseases

Image segmentation is crucial for early identification and diagnosis of crop diseases in agriculture. It helps identify disease areas and characteristics, laying the groundwork for disease diagnosis and treatment. However, color image thresholding segmentation method faces challenges in finding the optimal threshold as the number of thresholds increases, which affects segmentation quality. In this paper, a modified snake optimizer (MSO) is proposed to address the color image thresholding segmentation problem using Kapur’s entropy as the objective function. MSO incorporates a dynamic adaptive parameter adjustment method. The improved global position update formula introduces guidance from the optimal individual and disturbance from random individuals, effectively achieving a balance between global and local search capabilities. A dynamic parameter adjustment method is added to accelerate convergence speed during snake movement to food. Lévy flight is introduced to the Flight mode to help the algorithm escape local extremums. A balancing strategy is implemented in the Mating mode, incorporating guidance from the optimal individual and information exchange between sub-populations, enabling balanced exploration and local exploitation capabilities. The hill-climbing jump operation for the optimal individual is added to help the algorithm overcome local stagnation. The proposed MSO is evaluated on CEC 2017 test functions and color test images, and the obtained results are compared with other segmentation methods and other intelligent optimization algorithms. The results demonstrate that MSO exhibits stable and excellent performance in both complex global optimization problems and color image thresholding segmentation problems. Finally, MSO is applied to segment rice disease images, and the results reveal significantly better segmentation performance compared to other algorithms. MSO shows great potential in solving the thresholding segmentation problem for agricultural disease images, thereby assisting in the accurate identification, diagnosis, and treatment of agricultural diseases and insect pests.

Enhancing a Display’s Sunlight Readability with Tone Mapping

The sunlight readability of display devices, such as notebook computers, transparent displays, vehicle displays, and augmented reality, is a significant technical challenge due to degraded image quality. To mitigate this problem, by fitting the human eye function, we propose a tone mapping method on a mobile phone display panel to enhance low grayscale image readability under bright ambient light. Additionally, we adapt a mini-LED backlight model to simulate real images under different ambient lighting conditions. Both experimental and simulated results indicate that high luminance displays with an optimized gamma value significantly enhance sunlight readability and image quality. Moreover, global color rendering can alleviate color shift. Such a method is also valid for the optimization of optical see-through devices under diverse environmental conditions.

91‐4: Temperature Compensation Study of Micro‐LED by Machine Learning

Micro‐LED is a new display technology that offers advantages such as high brightness, high contrast, and low power consumption. However, the performance of Micro‐LED is greatly affected by temperature, leading to color shift easily. To address this issue, this paper proposes a machine learning‐based approach for achieving global compensation, which exhibits advantages including high compensation accuracy, good smoothness, and strong generalization performance. Experimental validation using both measured and simulated data demonstrates that the proposed method achieves a single‐pixel single‐color(R) brightness prediction accuracy of 1% and the brightness prediction of multi‐pixel single‐color(R) also exhibits high accuracy. Consequently, the proposed method enables global brightness compensation and color shift compensation in Micro‐LED.

Federalism and Settler Imperialism: Racial Regimes, Whiteness, and Conquest in Canadian Constitutionalism

AbstractIn political science, federalism is often treated as an “antithesis” to empire. While Canadian Politics has recently become more attentive to the importance of ongoing settler colonialism as conditioning Canadian political life writ large, this has yet to induce a paradigm shift in understanding how the institutional logics of the state were established by, and in order to advance, colonial and imperial ends. This article contributes to this broader understanding by exploring how, in Canada, the federal arrangement congeals a constitutionalized whiteness that facilitates both the internal coherence of a settler class and its subsequent continental expansion. Attentive to the importance of this constitutional development within a world-spanning imperial context, this article also suggests that the simultaneous innovation of Dominion status contoured the early twentieth-century's global colour line, as self-determination was increasingly devolved to other white settler polities. The contradictory realities of these processes are also noted.

W.E.B. Du Bois and Irene Diggs: Gender, Erasures, and Knowledge Production in the Sociology of the Global Color Line

The global sociology of W.E.B. Du Bois developed during the 1940s relies significantly on a collaborative relationship with African-American sociologist and anthropologist Irene Diggs (1906–1998). Diggs was mentored by Du Bois as a graduate student at Atlanta University and later became his research assistant, secretary, and colleague. No person worked for and with Du Bois as Diggs did, for nearly 14 years. In her own work, Diggs transcended Du Bois. Using archival documentary research, I analyze the connection between Diggs and Du Bois to show how they developed a global sociological perspective that included an analysis of the color line in Latin America. My analysis has two goals: (1) to show how the Du Bois–Diggs relationship was permeated by gender inequalities and a misrecognition of Diggs’s critical contribution and (2) to introduce Irene Diggs’s work on Latin America between 1942 and 1953 to show how it was inscribed within the project of a global sociology of the color line. I discuss how Diggs’s historical sociology expands the analysis of the Latin American color line today.

ARE NEUROVASCULAR CHARTS APPROPRIATE FOR DIAGNOSING COMPARTMENT SYNDROME?

IntroductionCompartment syndrome can be a life changing consequence of injury to a limb. If not diagnosed and treated early it can lead to permanent disability. Neurovascular observations done on the ward by nursing staff, are often our early warning system to those developing compartment syndrome. But are these adequate for detecting the early signs of compartment syndrome? Our aim was to compare the quality and variability of charts across the UK major trauma network.Materials & MethodsAll major trauma centres in England and Scotland were invited to supply a copy of the neurovascular chart routinely used. We assessed how such charts record relevant information. Specific primary data points included were pain scores, analgesia requirements, pain on passive stretch and decreased sensation in the first web space specifically. As secondary objectives, we assessed how late signs were recorded, whether clear instructions were included, quantitative scores and the use of regional blocks recorded.ResultsA response rate of 46% was achieved. Of the charts reviewed, 25% documented pain scores or pain on passive movement. Pain on movement and analgesia requirements were documented in 33% and 8% respectively. Specific sensation within the 1st webspace was recorded in 16%. No charts recorded use of regional block. All charts recorded global sensation, movement (unspecified), pulse and colour whilst 66% documented capillary refill and 83% temperature. Instructions were included in 41% of charts.ConclusionsIn 2016, the BOA supported publication of an observation chart for this purpose however, it is not widely used. In our study, late signs of compartment syndrome were generally well recorded. However, documentation of early signs and regional blocks was poor. This may lead to delays in diagnosis with significant clinical and medicolegal consequences. Standardisation of documentation by updating and promoting the use of the pre-existing chart would ensure highest quality care across the network.

Fenton and electro-Fenton treatment for industrial textile wastewater recycling. Comparison of by-products removal, biodegradability, toxicity, and re-dyeing

A comparative study of the results obtained from using Fenton and electro-Fenton processes in textile wastewater treatment is presented. Global indicators, color, COD, TOC, and BOD5 were employed to investigate the treatments. Examination of the representative by-products gave new insights into Fenton. Even though the color removal was higher for classical Fenton (almost 100% color removal) than for electro-Fenton, the overall purification effect was not directly advantageous for Fenton. We found that electro-Fenton removed COD and TOC more efficiently. The biodegradability BI (BOD5/COD) parameter was investigated, where the textile wastewater was hardly biodegradable (BI was 0.12 ± 0.007). BI of Fenton was also low (0.044 ± 0.006). Electro-Fenton yielded a considerably more promising result, where BI was 0.83 ± 0.15, and proved more bio-friendly than classical Fenton. Additionally, electro-Fenton was more efficient in by-product removal, especially the naphthalic component, with 90% removal (while Fenton removed 50%). The by-products influenced the after-treatment toxicity assessment of V. fischeri. The EC50 values were below 2% and even lower for electro-Fenton. The results of the color matching parameters (DECMC) of re-dyeing were unacceptable using after-Fenton water at 8.66. DECMC results were between 1.01 and 2.71 after electro-Fenton treatment and had a recycling perspective.

A 76-m per pixel global color image dataset and map of Mars by Tianwen-1

A 76-m per pixel global color image dataset and map of Mars by Tianwen-1

Descanning: From Scanned to the Original Images with a Color Correction Diffusion Model

A significant volume of analog information, i.e., documents and images, have been digitized in the form of scanned copies for storing, sharing, and/or analyzing in the digital world. However, the quality of such contents is severely degraded by various distortions caused by printing, storing, and scanning processes in the physical world. Although restoring high-quality content from scanned copies has become an indispensable task for many products, it has not been systematically explored, and to the best of our knowledge, no public datasets are available. In this paper, we define this problem as Descanning and introduce a new high-quality and large-scale dataset named DESCAN-18K. It contains 18K pairs of original and scanned images collected in the wild containing multiple complex degradations. In order to eliminate such complex degradations, we propose a new image restoration model called DescanDiffusion consisting of a color encoder that corrects the global color degradation and a conditional denoising diffusion probabilistic model (DDPM) that removes local degradations. To further improve the generalization ability of DescanDiffusion, we also design a synthetic data generation scheme by reproducing prominent degradations in scanned images. We demonstrate that our DescanDiffusion outperforms other baselines including commercial restoration products, objectively and subjectively, via comprehensive experiments and analyses.

Agency is Positionally Distributed: Practice Theory and (Post)Colonial Structures

Abstract Why are some practices available to some actors in world politics, but not to others? In this theory note, we develop a theory of agency as positionally distributed: In global politics, the action potentials of groups and individuals vary depending on their location in the macrostructures inherited from common histories of colonial domination and exploitation. We contribute to the understanding of subordinate agency by exploiting the many synergies between International Practice Theory and Postcolonial Theory. Where the former sometimes struggles to capture deep macrostructures, the latter emphasizes the constitutive effects of coloniality. Conversely, where the postcolonial gaze faces the aporia of giving voice to the subordinate, a practice approach helps make sense of the indexicality of agency, including defiance and subversion. Based on these complementarities, we develop a structural concept according to which agency, including subordinate forms, is a relational effect of an unequal playing field characterized by centuries of (post)colonial dynamics. Overall, the theory note helps explain why the very same practices, such as border crossing, seem to be distributed unequally across groups depending not on their competence but on their position in social and international structures such as the North–South divide or the global color line.