Colour Recognition Algorithm Based on Colour Mapping Knowledge for Wooden Building Image

In the cross-media image reproduction technology, the accurate transfer and reproduction of colour between different media are an important issue in the reproduction process, and the colour mapping technology is the key technology to effectively maintain the image details and improve the level of colour reproduction. Wooden structure in the image colour and colour piece is different, the image of each colour of visual perception is not independent, and every colour in the image pixels is affected by the surrounding pixels, but in the process of image map, without thinking of the pixel space, adjacent pixels of mutual influence in particular, do not let a person particularly be satisfied with the resulting map figure. In the process of image processing by traditional colour mapping algorithm, the colour distortion caused by colour component is ignored and the block diagram of colour mapping system is constructed. With the continuous development of mapping recognition algorithms, the maximum and minimum brightness values in the image are mapped to the maximum and minimum brightness values of the display device by linear mapping algorithm according to the flow of the established recognition algorithm. By establishing the colour adjustment method of the colour mapping image, the processing effect of the mapping algorithm is analysed. The results show that the brightness deviation of the image is reduced and the colour resolution is improved by the colour brightness compensation.

Dynamic range reduction of infrared images based on adaptive equalization, stretch and compression of histogram

The problem of reducing the dynamic range and improving the quality of infrared (IR) images with a wide dynamic range for their display on a liquid crystal matrix with 8-bit pixels is considered. To solve this problem in optoelectronic devices in real time, block algorithms based on local equalization of the histogram are widely used, taking into account their relatively low computational complexity and the possibility of taking into account local features of the brightness distribution. The basic adaptive histogram equalization algorithm provides reasonably high image quality after conversion, but may result in excessive contrast for some types of images. In a modified algorithm of adaptive histogram equalization, the contrast is limited by a threshold by truncating local maxima at the edges of the histogram. This leads, however, to a deterioration in other indicators of image quality. This disadvantage is inherent in many algorithms of local histogram equalization, along with limited control over the characteristics of image reproduction quality. To improve the quality and expand the control interval for the characteristics of the reproduction of infrared images, the article proposes an algorithm for double reduction of the dynamic range of the image with intermediate control of the shape of its histogram. This algorithm performs: preliminary reduction of the dynamic range of the image based on adaptive equalization of the histogram, control of the shape of the histogram based on its linear or nonlinear compression, linear stretching of its central part and linear stretching (compression) of its lateral parts, final reduction of the dynamic range based on linear compression of the entire histograms. The characteristics of the proposed algorithm are compared with the characteristics of known algorithms for reducing the dynamic range and improving the image quality. The dependences of the characteristics of the quality of image reproduction after a decrease in their dynamic range on the control parameters of the proposed algorithm and recommendations for their choice taking into account the computational complexity are given.

Face image profiles features extraction for recognition systems

The object of research is the algorithm of piecewise linear approximation when applying it to the selection of facial features and compression of its images. One of the problem areas is to obtain the optimal ratio of the degree of compression and accuracy of image reproduction, as well as the accuracy of the obtained facial features, which can be used to search for people in databases. The main characteristics of the image of the face are the coordinates and size of the eyes, mouth, nose and other objects of attention. Dimensions, distances between them, as well as their relationship also form a set of characteristics. A piecewise linear approximation algorithm is used to identify and determine these features. First, it is used to approximate the image of the face to obtain a graph of the silhouette from right to left and, secondly, to approximate fragments of the face to obtain silhouettes of the face from top to bottom. The purpose of the next stage is to implement multilevel segmentation of the approximated images to cover them with rectangles of different intensity. Due to their shape they are called barcodes. These three stages of the algorithm the faces are represented by two barcode images are vertical and horizontal. This material is used to calculate facial features. The medium intensity function in a row or column is used to form an approximation object and as a tool to measure the values of facial image characteristics. Additionally, the widths of barcodes and the distances between them are calculated. Experimental results with faces from known databases are presented. A piecewise linear approximation is used to compress facial images. Experiments have shown how the accuracy of the approximation changes with the degree of compression of the image. The method has a linear complexity of the algorithm from the number of pixels in the image, which allows its testing for large data. Finding the coordinates of a synchronized object, such as the eyes, allows calculating all the distances between the objects of attention on the face in relative form. The developed software has control parameters for conducting research.

Особенности получения изображений протяженных объектов, восстанавливаемых импульсными голограммами

The features of the dimensional transformation of images of depth-extended objects reconstructed by transmission pulse holograms are considered, when the spectral and geometric parameters of hologram recording and image reproduction are different. A method for improving the characteristics of images is proposed, which makes it possible to reduce the requirements for the output characteristics of pulsed lasers.

SURROGATE TOURISTS ON INSTAGRAM: AN(OTHER) KIND OF MIMETIC GAZE

From influencers to established travel brands to casual consumers, there are a number of existing organisms in the online ecosystem of Instagram simultaneously producing and consuming content. At first glance, the nature of these relationships seems simple - sharing and engaging via a visual medium - but upon prolonged review, deeper questions about the interwoven complexity existing between these organisms and their content emerge. The authors illuminate several discernible patterns through a deep theoretical framing of the gaze, mimetic reproduction and ownership followed by a conceptual modelling through a review of everyday Instagramic practices. What becomes apparent are a number of stages of development in this process. Firstly, the practice of photographic mimicry becomes a form of consumption in which the consumer ‘consumes places’ vicariously across space and time, making image reproduction an embodied practice. Secondly, the Instagram fee of an individual consumer (or influencer) becomes a sort of living autobiography, curating and aggrandizing the glossiest images which form a projected extension of self that is not grounded necessarily in authenticity, but in reproduction. Finally, the proliferation of communication between consumer and consumer reproduces a surrogate type that creates a constantly evolving circular content loop where the flow of influence and information becomes muddled and originality becomes less distinguishable. This paper critically explores how Instagram has collapsed traditional influence and consumer relationships particularly in how tourist experience and imagery are shared, resulting in a complex online community that resembles a cultural colonial organism fed by communication feedback loops. The result of this paper is the positioning of a surrogate tourist embodied within a collection of individual entities performing specialized tasks dependent on other individuals in the community in which the function and nature of the individual recedes in importance to the relationship existing between organisms.

Structure-Aware Halftoning Using the Iterative Method Controlling the Dot Placement

Many image reproduction devices, such as printers, are limited to only a few numbers of printing inks. Halftoning, which is the process to convert a continuous-tone image into a binary one, is, therefore, an essential part of printing. An iterative halftoning method, called Iterative Halftoning Method Controlling the Dot Placement (IMCDP), which has already been studied by research scholars, generally results in halftones of good quality. In this paper, we propose a structure-based alternative to this algorithm that improves the halftone image quality in terms of sharpness, structural similarity, and tone preservation. By employing appropriate symmetrical and non-symmetrical Gaussian filters inside the proposed halftoning method, it is possible to adaptively change the degree of sharpening in different parts of the continuous-tone image. This is done by identifying a dominant line in the neighborhood of each pixel in the original image, utilizing the Hough Transform, and aligning the dots along the dominant line. The objective and subjective quality assessments verify that the proposed structure-based method not only results in sharper halftones, giving more three-dimensional impression, but also improves the structural similarity and tone preservation. The adaptive nature of the proposed halftoning method makes it an appropriate algorithm to be further developed to a 3D halftoning method, which could be adapted to different parts of a 3D object by exploiting both the structure of the images being mapped and the 3D geometrical structure of the underlying printed surface.

Always the real the thing?

Walter Benjamin’s famous 1935 essay ‘The Work of Art in the Age of Mechanical Reproduction’ addresses the authenticity of a work of art as something beyond the merely material and technical. Benjamin constructs a broader notion of authenticity that includes ‘the life of things’ and is related to new techniques in artistic production. This broader sense of authenticity is used here to explore how it may help us to understand architecture in the age of digital reproduction. Two aspects of authenticity in Benjamin’s article are discussed: process reproduction and image reproduction. In process reproduction, authenticity is transformed through the mediation of technical procedures. Benjamin’s analysis of photography and film is a seminal version of how the digital age raises new questions through tools and techniques such as programs, coding and algorithms. The work of Kees Christiaanse in collaboration with Ludger Hovestadt provides an example of an increasingly algorithmic approach to urban planning. In image reproduction, the question of authenticity revolves around the increasing proliferation of images. In this context, the Wangjing soho complex by Zaha Hadid and its apparent imitation by a Chinese developer proves illuminating. These projects show aspects of the changing conditions of the digital age, in which new techniques of realization may transform current notions of authenticity.