Special Section Guest Editorial: Image/Video Quality and System Performance

Rapid developments in display technologies, digital printing, imaging sensors, image processing and image transmission are providing new possibilities for creating and conveying visual content. In an age in which images and video are ubiquitous and where mobile, satellite, and three-dimensional (3-D) imaging have become ordinary experiences, quantification of the performance of modern imaging systems requires appropriate approaches. At the end of the imaging chain, a human observer must decide whether images and video are of a satisfactory visual quality. Hence the measurement and modeling of perceived image quality is of crucial importance, not only in visual arts and commercial applications but also in scientific and entertainment environments. Advances in our understanding of the human visual system offer new possibilities for creating visually superior imaging systems and promise more accurate modeling of image quality. As a result, there is a profusion of new research on imaging performance and perceived quality.

Governing through community? A comparative study of changing management practices in mixed tenure housing development

An important feature of UK housing policy has been the promotion of consortia between local authorities, private developers and housing associations in order to develop mixed tenure estates to meet a wide range of housing needs. Central to this approach has been a focus on the management of neighbourhoods, based on the assumption that high densities and the inter-mixing of tenure exacerbates the potential for incivility and anti-social behaviour and exerts a disproportionate impact on residents' quality of life. Landlord strategies are therefore based on a need to address such issues at an early stage in the development. In some cases community-based, third sector organisations are established in order to manage community assets and to provide a community development service to residents. In others, a common response is to appoint caretakers and wardens to tackle social and environmental problems before they escalate and undermine residents’ quality of life. A number of innovative developments have promoted such neighbourhood governance approaches to housing practice by applying community development methods to address potential management problems. In the process, there is an increasing trend towards strategies that shape behaviour, govern ethical conduct, promote aesthetic standards and determine resident and landlord expectations. These processes can be related to the wider concept of governmentality whereby residents are encouraged to become actively engaged in managing their own environments, based on the assumption that this produces more cohesive, integrated communities and projects positive images. Evidence is emerging from a number of countries that increasingly integrated and mutually supportive roles and relationships between public, private and third sector agencies are transforming neighbourhood governance in similar ways. This paper will review the evidence for this trend towards community governance in mixed housing developments by drawing on a series of UK case studies prepared for two national agencies in 2007. It will review in particular the contractual arrangements with different tenures, identify codes and guidelines promoting 'good neighbour' behaviour and discuss the role of community development trusts and other neighbourhood organisations in providing facilities and services, designed to generate a well integrated community. The second part of the paper will review evidence from the USA and Australia to see how far there is a convergence in this respect in advanced economies. The paper will conclude by discussing the extent to which housing management practice is changing, particularly in areas of mixed development, whether there is a convergence in practice between different countries and how far these trends are supported by theories of governmentality.

Just noticeable differences in perceived image contrast with changes in displayed image size

An evaluation of the change in perceived image contrast with changes in displayed image size was carried out. This was achieved using data from four psychophysical investigations, which employed techniques to match the perceived contrast of displayed images of five different sizes. A total of twenty-four S-shape polynomial functions were created and applied to every original test image to produce images with different contrast levels. The objective contrast related to each function was evaluated from the gradient of the mid-section of the curve (gamma). The manipulation technique took into account published gamma differences that produced a just-noticeable-difference (JND) in perceived contrast. The filters were designed to achieve approximately half a JND, whilst keeping the mean image luminance unaltered. The processed images were then used as test series in a contrast matching experiment. Sixty-four natural scenes, with varying scene content acquired under various illumination conditions, were selected from a larger set captured for the purpose. Results showed that the degree of change in contrast between images of different sizes varied with scene content but was not as important as equivalent perceived changes in sharpness.

Image quality optimization, via application of contextual contrast sensitivity and discrimination functions

What is the best luminance contrast weighting-function for image quality optimization? Traditionally measured contrast sensitivity functions (CSFs), have been often used as weighting-functions in image quality and difference metrics. Such weightings have been shown to result in increased sharpness and perceived quality of test images. We suggest contextual CSFs (cCSFs) and contextual discrimination functions (cVPFs) should provide bases for further improvement, since these are directly measured from pictorial scenes, modeling threshold and suprathreshold sensitivities within the context of complex masking information. Image quality assessment is understood to require detection and discrimination of masked signals, making contextual sensitivity and discrimination functions directly relevant. In this investigation, test images are weighted with a traditional CSF, cCSF, cVPF and a constant function. Controlled mutations of these functions are also applied as weighting-functions, seeking the optimal spatial frequency band weighting for quality optimization. Image quality, sharpness and naturalness are then assessed in two-alternative forced-choice psychophysical tests. We show that maximal quality for our test images, results from cCSFs and cVPFs, mutated to boost contrast in the higher visible frequencies.