Or on the ETHICS of GILDING CONSERVATION by Elisabeth Cornu, Assoc
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Mcalab: Reproducible Research in Signal and Image Decomposition and Inpainting
1 MCALab: Reproducible Research in Signal and Image Decomposition and Inpainting M.J. Fadili , J.-L. Starck , M. Elad and D.L. Donoho Abstract Morphological Component Analysis (MCA) of signals and images is an ambitious and important goal in signal processing; successful methods for MCA have many far-reaching applications in science and tech- nology. Because MCA is related to solving underdetermined systems of linear equations it might also be considered, by some, to be problematic or even intractable. Reproducible research is essential to to give such a concept a firm scientific foundation and broad base of trusted results. MCALab has been developed to demonstrate key concepts of MCA and make them available to interested researchers and technologists. MCALab is a library of Matlab routines that implement the decomposition and inpainting algorithms that we previously proposed in [1], [2], [3], [4]. The MCALab package provides the research community with open source tools for sparse decomposition and inpainting and is made available for anonymous download over the Internet. It contains a variety of scripts to reproduce the figures in our own articles, as well as other exploratory examples not included in the papers. One can also run the same experiments on one’s own data or tune the parameters by simply modifying the scripts. The MCALab is under continuing development by the authors; who welcome feedback and suggestions for further enhancements, and any contributions by interested researchers. Index Terms Reproducible research, sparse representations, signal and image decomposition, inpainting, Morphologi- cal Component Analysis. M.J. Fadili is with the CNRS-ENSICAEN-Universite´ de Caen, Image Processing Group, ENSICAEN 14050, Caen Cedex, France. -
The Bonefolder: an E-Journal for the Bookbinder and Book Artist Surface Gilding by James Reid-Cunningham
Bexx Caswell’s binding of Leaves of Grass by Walt Whitman; Illustrations by Jim Spanfeller. Hallmark, 1969. From the 2009 Bind-O-Rama. Volume 6, Number 1, Fall 2009 The Bonefolder: an e-journal for the bookbinder and book artist Surface Gilding By James Reid-Cunningham 28 Figure 1. The House South of North. Calfskin, gold leaf, Figure 2. Transfer leaf. palladium leaf, kidskin, fish skin, goatskin, box calf, abalone. Gilding on large flat surfaces is best done with transfer leaf Bound 2006. (also called patent leaf), which is gold leaf mounted on a piece Traditional binding decoration utilizes gold leaf to create of thin tissue that allows easily handling without wrinkling or discrete highlights, as in gold finishing. What I refer to as breaking the gold leaf. Transfer leaf can be cut with a scissors. “surface gilding” covers a binding with gold leaf over large Use a scissors reserved only for this task because any scratch areas, even over entire boards. This kind of decoration is rare or little bit of adhesive on the blade will pull the leaf and in bookbinding history, but can be seen in Art Deco bindings break it. When using loose gold leaf, it is necessary to adhere done in France during the 1920s and 1930s. Surface gilding the leaf to the substrate using oil or Vaseline. has become increasingly common among design binders in It sometimes seems that any adhesive ever invented recent years. Whether bound in leather, paper or vellum, has been used at one point or another to adhere gold to a surface gilding gives a spectacularly luxurious effect to a book, so there are many choices of what to use. -
APPENDIX C Cultural Resources Management Plan
APPENDIX C Cultural Resources Management Plan The Sloan Canyon National Conservation Area Cultural Resources Management Plan Stephanie Livingston Angus R. Quinlan Ginny Bengston January 2005 Report submitted to the Bureau of Land Management, Las Vegas District Office Submitted by: Summit Envirosolutions, Inc 813 North Plaza Street Carson City, NV 89701 www.summite.com SLOAN CANYON NCA RECORD OF DECISION APPENDIX C —CULTURAL RESOURCES MANAGEMENT PLAN INTRODUCTION The cultural resources of Sloan Canyon National Conservation Area (NCA) were one of the primary reasons Congress established the NCA in 2002. This appendix provides three key elements for management of cultural resources during the first stage of implementation: • A cultural context and relevant research questions for archeological and ethnographic work that may be conducted in the early stages of developing the NCA • A treatment protocol to be implemented in the event that Native American human remains are discovered • A monitoring plan to establish baseline data and track effects on cultural resources as public use of the NCA grows. The primary management of cultural resources for the NCA is provided in the Record of Decision for the Approved Resource Management Plan (RMP). These management guidelines provide more specific guidance than standard operating procedures. As the general management plan for the NCA is implemented, these guidelines could change over time as knowledge is gained of the NCA, its resources, and its uses. All cultural resource management would be carried out in accordance with the BLM/Nevada State Historic Preservation Office Statewide Protocol, including allocation of resources and determinations of eligibility. Activity-level cultural resource plans to implement the Sloan Canyon NCA RMP would be developed in the future. -
Gilding with Kolner Burnishing Clay and Insta-Clay by Lauren Sepp
Gilding with Kolner Burnishing Clay and Insta-Clay By Lauren Sepp ’ve been asked many times by custom framing re- achieve different shades. The white Burnishing Clay tailers if there is an easier way to water gild and can be tinted with Mixol tinting agents up to 5 percent I burnish a surface, as it’s generally agreed upon that by weight to achieve any color you desire. traditional water gilding is a labor-intensive method. Both the Burnishing Clay and Insta-Clay can be Kolner products address that demand by streamlining applied to many different surfaces. Certain nonpo- the water gilding process, which would otherwise in- rous substrates require no sealing before application clude many more steps. of the clay: Plexiglas and other plastics, sealed woods, Kolner Products, based in Germany, formulated a nonporous paints, and lacquered metals. Unsealed water-based, single-layer, burnishable gilders’ clay for metals may require a primer. Smooth plastics and water gilding in 1985 called Kolner Burnishing Clay. metals may require a light sanding to promote good This product combines and replaces the glue size, ges- adhesion. Porous surfaces such as matboard, paper, so, and bole layers with a single product. The clay is parchment, raw wood, textiles, unglazed ceramics, premixed with an acrylic binder and only needs to be stone, plaster, traditional gesso and compo orna- thinned slightly and stirred. There is no heating, dis- ments require a sealer before applying the clays. In solving of glues, or straining. There is also a sprayable many applications, shellac is a good all-around sealer. -
Texture Inpainting Using Covariance in Wavelet Domain
DOI 10.1515/jisys-2013-0033 Journal of Intelligent Systems 2013; 22(3): 299–315 Research Article Rajkumar L. Biradar* and Vinayadatt V. Kohir Texture Inpainting Using Covariance in Wavelet Domain Abstract: In this article, the covariance of wavelet transform coefficients is used to obtain a texture inpainted image. The covariance is obtained by the maximum likelihood estimate. The integration of wavelet decomposition and maximum likelihood estimate of a group of pixels (texture) captures the best-fitting texture used to fill in the inpainting area. The image is decomposed into four wavelet coefficient images by using wavelet transform. These wavelet coefficient images are divided into small square patches. The damaged region in each coefficient image is filled by searching a similar square patch around the damaged region in that particular wavelet coefficient image by using covariance. Keywords: Inpainting, texture, maximum likelihood estimate, covariance, wavelet transform. *Corresponding author: Rajkumar L. Biradar, G. Narayanamma Institute of Technology and Science, Electronics and Tel ETM Department, Shaikpet, Hyderabad 500008, India, e-mail: [email protected] Vinayadatt V. Kohir: Poojya Doddappa Appa College of Engineering, Gulbarga 585102, India 1 Introduction Image inpainting is the technique of filling in damaged regions in a non-detect- able way for an observer who does not know the original damaged image. The concept of digital inpainting was introduced by Bertalmio et al. [3]. In the most conventional form, the user selects an area for inpainting and the algorithm auto- matically fills in the region with information surrounding it without loss of any perceptual quality. Inpainting techniques are broadly categorized as structure inpainting and texture inpainting. -
Gilding Through the Ages
Gilding Through the Ages AN OUTLINE HISTORY OF THE PROCESS IN THE OLD WORLD Andrew Oddy Research Laboratory, The British Museum, London, U.K. In 1845, Sir Edward Thomason wrote in his not public concern but technological advance which memoirs (1) a description of a visit he had made in brought an end to the use of amalgam for gilding. to certain artisans in Paris and he commented: 1814 Gilding with Gold Foil `I was surprised, however, at their secret of superior Although fire-gilding had been in widespread use in gilding of the time-pieces. I was admitted into one gilding establishment, and I found the medium was Europe and Asia for at least 1 500 years when it was similar to ours, mercury; nevertheless the French did displaced by electroplating, the origins of gilding — gild the large ornaments and figures of the chimney- that is, the application of a layer of gold to the surface piece clocks with one-half the gold we could at of a less rare metal — go back at least 5 000 years, to Birmingham, and produced a more even and finer the beginning of the third millennium B.C. The colour'. British Museum has some silver nails from the site of Much to his disgust, Thomason could not persuade Tell Brak in Northern Syria (5) which have had their the French workmen to tell him the secret of their heads gilded by wrapping gold foil over the silver. superior technique, but it seems most likely that it This is, in fact, the earliest form of gilding and it lay either in the preparation of the metal surface depends not on a physical or chemical bond between for gilding or perhaps in the final cleaning and the gold foil and the substrate, but merely on the burnishing of the gilded surface. -
Curatorial Care of Easel Paintings
Appendix L: Curatorial Care of Easel Paintings Page A. Overview................................................................................................................................... L:1 What information will I find in this appendix?.............................................................................. L:1 Why is it important to practice preventive conservation with paintings?...................................... L:1 How do I learn about preventive conservation? .......................................................................... L:1 Where can I find the latest information on care of these types of materials? .............................. L:1 B. The Nature of Canvas and Panel Paintings............................................................................ L:2 What are the structural layers of a painting? .............................................................................. L:2 What are the differences between canvas and panel paintings?................................................. L:3 What are the parts of a painting's image layer?.......................................................................... L:4 C. Factors that Contribute to a Painting's Deterioration............................................................ L:5 What agents of deterioration affect paintings?............................................................................ L:5 How do paint films change over time?........................................................................................ L:5 Which agents -
Digital Image Restoration Techniques and Automation Ninad Pradhan Clemson University
Digital Image Restoration Techniques And Automation Ninad Pradhan Clemson University [email protected] a course project for ECE847 (Fall 2004) Abstract replicate can be found in the same image where the region The restoration of digital images can be carried out using to be synthesized lies. two salient approaches, image inpainting and constrained texture synthesis. Each of these have spawned many Hence we see that, for two dimensional digital images, one algorithms to make the process more optimal, automated can use both texture synthesis and inpainting approaches to and accurate. This paper gives an overview of the current restore the image. This is the motivation behind studying body of work on the subject, and discusses the future trends work done in these two fields as part of the same paper. The in this relatively new research field. It also proposes a two approaches can be collectively referred to as hole filling procedure which will further increase the level of approaches, since they do try and remove unwanted features automation in image restoration, and move it closer to being or ‘holes’ in a digital image. a regular feature in photo-editing software. The common requirement for hole filling algorithms is that Keywords: image restoration, inpainting, texture synthesis, the region to be filled has to be defined by the user. This is multiresolution techniques because the definition of a hole or distortion in the image is largely perceptual. It is impossible to mathematically define 1. Introduction what a hole in an image is. A fully automatic hole filling tool may not just be unfeasible but also undesirable, because Image restoration or ‘inpainting’ is a practice that predates in some cases, it is likely to remove features of the image the age of computers. -
Deep Structured Energy-Based Image Inpainting
Deep Structured Energy-Based Image Inpainting Fazil Altinel∗, Mete Ozay∗, and Takayuki Okatani∗† ∗Graduate School of Information Sciences, Tohoku University, Sendai, Japan †RIKEN Center for AIP, Tokyo, Japan Email: {altinel, mozay, okatani}@vision.is.tohoku.ac.jp Abstract—In this paper, we propose a structured image in- painting method employing an energy based model. In order to learn structural relationship between patterns observed in images and missing regions of the images, we employ an energy- based structured prediction method. The structural relationship is learned by minimizing an energy function which is defined by a simple convolutional neural network. The experimental results on various benchmark datasets show that our proposed method significantly outperforms the state-of-the-art methods which use Generative Adversarial Networks (GANs). We obtained 497.35 mean squared error (MSE) on the Olivetti face dataset compared to 833.0 MSE provided by the state-of-the-art method. Moreover, we obtained 28.4 dB peak signal to noise ratio (PSNR) on the SVHN dataset and 23.53 dB on the CelebA dataset, compared to 22.3 dB and 21.3 dB, provided by the state-of-the-art methods, (a) (b) (c) respectively. The code is publicly available.1 I. INTRODUCTION Fig. 1. An illustration of image inpainting results on face images. Given In this work, we address an image inpainting problem, images with missing region (b), our method generates visually realistic and consistent inpainted images (c). (a) Ground truth images, (b) occluded input which is to recover missing regions of an image, as shown images, (c) inpainting results by our method. -
A Review on Image Inpainting Techniques and Datasets
A Review on Image Inpainting Techniques and Datasets David Josue´ Barrientos Rojas Bruno Jose´ Torres Fernandes Sergio Murilo Maciel Fernandes Escola Politecnica´ de Pernambuco Escola Politecnica´ de Pernambuco Escola Politecnica´ de Pernambuco Universidade de Pernambuco Universidade de Pernambuco Universidade de Pernambuco Recife, Brazil Recife, Brazil Recife, Brazil Email: [email protected] Email: [email protected] Email: [email protected] Abstract—Image inpainting is a process that allows filling in target regions with alternative contents by estimating the suitable information from auxiliary data, either from surrounding areas or external sources. Digital image inpainting techniques are classified in traditional techniques and Deep Learning techniques. Traditional techniques are able to produce accurate high-quality results when the missing areas are small, however none of them are able to generate novel objects not found in the source image neither to produce semantically consistent results. Deep Learning techniques have greatly improved the quality on image inpainting delivering promising results by generating semantic Fig. 1. Digital Inpainting example using Context Encoders [2] hole filling and novel objects not found in the original image. However, there is still a lot of room for improvement, specially on arbitrary image sizes, arbitrary masks, high resolution texture II. INPAINTING TECHNIQUES synthesis, reduction of computation resources and reduction of training time. This work classifies and orders chronologically the Existing image inpainting techniques can be divided into most prominent techniques, providing an overall explanation on two different groups: traditional and deep learning-based meth- its operation. It presents, as well, the most used datasets and ods. evaluation metrics across all the works reviewed. -
City Arts Advisory Committee
City Arts Advisory Committee and Visual Arts in Public Places (VAPP) Committee MINUTES Thursday, May 19, 2011 3:30 -5:00pm David Gebhard Public Meeting Room 630 Garden St., Santa Barbara, CA 93101 Arts Advisory Committee Members Present: Phyllis de Picciotto, Chair; Robert Adams; Roman Baratiak, Darian Bleecher Arts Advisory Committee Members Absent: Suzanne Fairly-Green, Vice-Chair; Michael Humphrey, Judy Nilsen Visual Art in Public Places Committee Members Present: Darian Bleecher, Phyllis de Picciotto, Jacqueline Dyson, Martha Gray, Susan Keller Visual Art in Public Places Committee Members Absent: Judy Nilsen, Chair; Teen Conlon, Suzanne Fairly-Green, Mary Heebner Liaisons Absent: Frank Hotchkiss (City Council); Susette Naylor, (HLC); Paul Zink, (ABR); Judith Cook (Parks & Recreation) Staff: Ginny Brush, Executive Director Rita Ferri, Visual Arts Coordinator/Curator of Collections Linda Gardy, Business Specialist II Lucy O’Brien, Recording Secretary 1. CALL TO ORDER – ROLL CALL- Phyllis de Picciotto, Chair, called the meeting to order at 3:15 pm and called the roll. 2. PUBLIC COMMENT – Robert Adams reminded the committee that it is time for committee members to consider nominations for the Business in the Arts Award from the Art Advisory Committee. It is important to have nominations for the June meeting and a decision made at the July meeting so there is ample time to notify the winner and identify an artist to create the award. 3. ARTS ADVISORY COMMITTEE- Phyllis de Picciotto, Chair A. Approval of Minutes – April 21, 2011 – The minutes were approved as presented. Baratiak /Bleecher. B. Director’s Report- Ginny Brush - 1. There have been two technical support grants workshops held already, and all grant materials are available online. -
Non-Local Sparse Image Inpainting for Document Bleed-Through Removal
Article Non-Local Sparse Image Inpainting for Document Bleed-Through Removal Muhammad Hanif * ID , Anna Tonazzini, Pasquale Savino and Emanuele Salerno ID Institute of Information Science and Technologies, Italian National Research Council, 56124 Pisa, Italy; [email protected] (A.T.); [email protected] (P.S.); [email protected] (E.S.) * Correspondence: [email protected] Received: 14 January 2018; Accepted: 26 April 2018; Published: 9 May 2018 Abstract: Bleed-through is a frequent, pervasive degradation in ancient manuscripts, which is caused by ink seeped from the opposite side of the sheet. Bleed-through, appearing as an extra interfering text, hinders document readability and makes it difficult to decipher the information contents. Digital image restoration techniques have been successfully employed to remove or significantly reduce this distortion. This paper proposes a two-step restoration method for documents affected by bleed-through, exploiting information from the recto and verso images. First, the bleed-through pixels are identified, based on a non-stationary, linear model of the two texts overlapped in the recto-verso pair. In the second step, a dictionary learning-based sparse image inpainting technique, with non-local patch grouping, is used to reconstruct the bleed-through-contaminated image information. An overcomplete sparse dictionary is learned from the bleed-through-free image patches, which is then used to estimate a befitting fill-in for the identified bleed-through pixels. The non-local patch similarity is employed in the sparse reconstruction of each patch, to enforce the local similarity. Thanks to the intrinsic image sparsity and non-local patch similarity, the natural texture of the background is well reproduced in the bleed-through areas, and even a possible overestimation of the bleed through pixels is effectively corrected, so that the original appearance of the document is preserved.