A Largest Matching Area Approach to Image Denoising

Given the success of patch-based approaches to image denoising,this paper addresses the ill-posed problem of patch size selection.Large patch sizes improve noise robustness in the presence of good matches, but can also lead to artefacts in textured regions due to the rare patch effect; smaller patch sizes reconstruct details more accurately but risk over-fitting to the noise in uniform regions. We propose to jointly optimize each matching patch’s identity and size for gray scale image denoising, and present several implementations.The new approach effectively selects the largest matching areas, subject to the constraints of the available data and noise level, to improve noise robustness. Experiments on standard test images demonstrate our approach’s ability to improve on fixed-size reconstruction, particularly at high noise levels, on smoother image regions.

Scaled Heavy-Ball Acceleration of the Richardson-Lucy Algorithm for 3D Microscopy Image Restoration

The Richardson–Lucy algorithm is one of the most important in image deconvolution. However, a drawback is its slow convergence. A significant acceleration was obtained using the technique proposed by Biggs and Andrews (BA), which is implemented in the deconvlucy function of the image processing MATLAB toolbox. The BA method was developed heuristically with no proof of convergence. In this paper, we introduce the heavy-ball (H-B) method for Poisson data optimization and extend it to a scaled H-B method, which includes the BA method as a special case. The method has a proof of the convergence rateof O(K^2), where k is the number of iterations. We demonstrate the superior convergence performance, by a speedup factor off ive, of the scaled H-B method on both synthetic and real 3D images.

Is it time for standards and a common data exchange format for digital image analysis?

Digital image analysis is at a crossroads. While the technology has made great strides over the past few decades, there is an urgent need for image analysis to inform the next wave of large scale tissue biomarker discovery studies in cancer. Drawing parallels from the growth of next generation sequencing, this presentation will consider the case for a common language or standard format for storing and communicating digital image analysis data. In this context, image analysis data comprises more than simply an image with markups and attached key-value pair metrics. The desire to objectively benchmark competing platforms or a push for data to be deposited to public repositories much like genomics data may drive the need for a standard that also encompasses granular, cell-by-cell data.

Automated retinal image quality assessment on the UK Biobank dataset for epidemiological studies

Morphological changes in the retinal vascular network are associated with future risk of many systemic and vascular diseases. However, uncertainty over the presence and nature of some of these associations exists. Analysis of data from large population based studies will help to resolve these uncertainties. The QUARTZ (QUantitative Analysis of Retinal vessel Topology and siZe) retinal image analysis system allows automated processing of large numbers of retinal images. However, an image quality assessment module is needed to achieve full automation. In this paper, we propose such an algorithm, which uses the segmented vessel map to determine the suitability of retinal images for use in the creation of vessel morphometric data suitable for epidemiological studies. This includes an effective 3-dimensional feature set and support vector machine classification. A random subset of 800 retinal images from UK Biobank (a large prospective study of 500,000 middle aged adults; where 68,151 underwent retinal imaging) was used to examine the performance of the image quality algorithm. The algorithm achieved a sensitivity of 95.33% and a specificity of 91.13% for the detection of inadequate images. The strong performance of this image quality algorithm will make rapid automated analysis of vascular morphometry feasible on the entire UK Biobank dataset (and other large retinal datasets), with minimal operator involvement, and at low cost.

Revival: The Aesthetics of Revival Subcultures and Re-enactment Groups Explored Through Fashion Image-making

This research aims, through performance, fashion photography, video making and the theatrical devices that accompany such practice, to explore the style of a contemporary, largely male, subcultural collective. The common term that joins these loosely bound groups is revival as they appear driven by an impulse to simulate and re-enact the dress, rites and rituals of British and American subcultures from a perceived golden era. The similarities with re-enactment societies are also explored and exploited to the end of developing new style- based aesthetics in male fashion image-making formed around an elaborate re- enactment of Spartacus and the Third Servile Wars. Examined through comparative visuals (revivalists / re-enactors) a common thread is found in the wearing of leather as a metaphor for resistance, style and a pupa-like second skin. Subsequent findings of this research suggest that the cuirass of popular culture emerges as the motorcycle jacket of both the sword and sandal epic and the historical re-enactor. Addressing extremes in narcissistic dress and behaviour amongst certain individuals within these older male communities, this study also questions parts of established theory on subcultural development within the field of cultural studies and postulates on a metaphorical dandy gene. Citing two leading practitioners in the field of fashion photography the work of both Richard Prince and Bruce Weber is viewed through the lens of the subcultural aesthete and conclusions drawn as to their role as agents provocateurs in the development of the fashion image with a revival based narrative. In addition the often used term retro is examined, categorised and granted its own genre within fashion image- making and defined as being separate from the practice element of this research. Reflecting a multi-disciplinary approach that engages the researcher as Bricoleur and participant observer this research operates in the reflexive realm and uses simulation as a key method of enquiry. The practice-led outcome of this investigation takes the form of a final research exhibition that takes the form of a substantial installation of photography, video, clothing and textile prints. Key terms: dandy gene, historical re-enactment groups, internal theatre, narcissism, narrative image-making, reflexive practice, revival as theatre, subcultures,

La rhétorique professionnelle des conseillers d'orientation pour l'accès à la pratique de la médiation familiale une image publique floue

Depuis le 1er septembre 1997, cinq professionnels ont accès à la pratique de la médiation familiale. Les conseillers d'orientation sont de ce nombre et ils sont les professionnels les moins bien représentés en médiation familiale et ce, à plusieurs points de vue. Ce mémoire pose l'hypothèse que les conseillers d'orientation ont de la difficulté à s'imposer dans cette pratique parce qu'ils ont un problème d'identité professionnelle qui les empêche de convaincre de leur pertinence en tant qu'intervenants. Balisé par un contexte théorique à caractère sociologique reposant sur les concepts de rhétorique professionnelle (Paradeise, 1985) et d'espace professionnel (Bourdon, 1994), les transcriptions des débats tenus en commission parlementaire sur la médiation familiale ont été analysés à l'aide d'une méthodologie qualitative. Il appert que les conseillers d'orientation n'ont su utiliser correctement les éléments de rhétorique professionnelle, et par surcroît, ils ont été les grandes victimes des tactiques utilisées par les autres acteurs.

Image morphology: from perception to rendering

Complete image ontology can be obtained by formalising a top-down meta-language wich must address all possibilities, from global message and composition to objects and local surface properties.

Cataloguing Kays: Body Image in the Catalogues of Kay & Co Ltd of Worcester, 1920 - 2000. JISC Final Report

Cataloguing Kays is a university-run project intended to create a community web-archive to celebrate the history and public memory of Kay & Co Ltd of Worcester, a noted mailorder catalogue company which was, until 2006, the largest employer in Worcester. The Kays Archive, housed at UoW, is one of the most comprehensive archive collections of 20th century mail-order catalogues in the UK and has a strong local elevance. The catalogues provide a window into over 100 years of body image, social history, consumable goods, fashion and design. The Project Team created www.WorldofKays.org, an online, fully-searchable archive containing 1500 digitised images from the catalogues, 1920-2000. The website is intended to form a seed bed for international research, focussing in particular on the representation of body image and the way the catalogues represent the developing tropes of consumer lifestyle and aspiration. The images are enhanced by blog postings from or film and audio interviews with local residents and former Kays staff members, who recall how the goods were selected and presented; as well as the impact the mail-order industry had on shaping 20th century lifestyle and consumption. These interviews and blogs have been sourced through the Cataloguing Kays team’s outreach activity in the local, academic and online communities. From the outset, we, the Cataloguing Kays team, engaged with online communities through social media sites, Facebook and Twitter, and through specialist blogs and online forums, inviting comment and contributions. Through events for the general public and a programme of targeted community outreach work with Kays Heritage Group and support groups for Worcestershire’s young and adult carers, we have also collected filmed and audio reminiscence material as well as community art and poetry content for the website. Our academic conference, the Catalogue of Dreams, showcased both the website and the physical archive to the wider academic, cultural and heritage sectors, provoking lively debateand much interest from international scholars.

Adaptive self-calibrating image rejection receiver

An adaptive self-calibrating image rejection receiver is described, containing a modified Weaver image rejection mixer and a Digital Image Rejection Processor (DIRP). The blind source-separation-based DIRP eliminates the I/Q errors improving the Image Rejection Ratio (IRR) without the need for trimming or use of power-hungry discrete components. Hardware complexity is minimal, requiring only two complex coefficients; hence it can be easily integrated into the signal processing path of any receiver. Simulation results show that the proposed approach achieves 75-97 dB of IRR.

Feature Engineering in Fine-Grained Image Classification

Thesis (Ph.D.)--University of Washington, 2013