The motivation for this MA work is based on the challenge to the preconception of hand-tufting through material, colour and light. When imagining a rug, a very specific image appears in our mind. Some details of that image could vary from person to person, but what is almost certain, dense and heavy, probably made out of wool, woven textile will pop up in front of our eyes. This work suggests a possibility of creating new expressions in design by the material driven approach. The investigation was led by practice based research including set up of experiments, experimental work and evaluation complementing the whole process. The exploration proved that qualities of monofilament yarn have a great ability to enhance colours as well as add certain kind of lightness to the hand-tufted piece. Furthermore, due to the transparency of monofilament yarn an interplay between the loops and the backing was possible, opening up for changes in colour perception. The outcome of the research is collection of woven and hand-tufted textiles contributing to the field of textiles by bringing new qualities to the hand-tufting technique.

Embodied cognition is the study of how actions and interactions with objects and individuals affect cognitive processing. Neuroaesthetics deals with the neural, biological and evolutionary aspects of aesthetic experience which occur through the senses and consist of the emotional value placed onto objects, for example the appreciation of art work, dance, or music. These are individual and differ depending on level of expertise and experience within the art. The main aim of the thesis was to investigate the link between embodiment and aesthetics through examining people’s level of creativity, colour perception and sensory processing sensitivity (SPS) in relation to levels of empathy and theory of mind (ToM). Research into this is sparse as the role of the body in relation to aesthetic experiences is a relatively new concept. Preference for portraits versus landscapes was also investigated to look at any role of social stimuli in aesthetic preference. Results demonstrate that participants with (i) higher levels of creativity (for some types of creativity) and (ii) more acute colour perception had higher levels of empathy/ToM. Individuals who had higher SPS demonstrated higher empathy/ToM. It was also found that colour perception and empathy levels decrease with age, and aesthetic preference for portraits increase with age. These results have implications for education/schools, the prison service, for specific clinical conditions such as autism, Parkinson’s disease, schizophrenia, and attention deficit/hyperactivity disorder, particularly given the role of dopamine in these disorders and in colour perception. Future research should investigate these findings using brain imaging and physiological measures.

<p>Predmet disertacije jeste optimizacija digitalne slike kada<br />ograničenje nije vezano za način reprodukcije već za samog posmatrača,<br />odnosno optimizacija opaženog kvaliteta digitalne slike od strane<br />osoba sa poremećajima viđenja boja. Predloženi model optimizacije<br />slike poboljšava distinkciju boja i opseg boja slike za korisnike sa<br />različitim težinama poremećaja viđenja boja uz očuvanje prirodnosti<br />slike. Metodološki okvir ispitivanja, koji uključuje kvantitativnu<br />analizu računarskih simulacija, analizu eye-tracking podataka i<br />subjektivno ocenjivanje poboljšanja opaženog kvaliteta test slika,<br />daje sistematičnu i pouzdanu verifikaciju efektnosti predloženih<br />metoda adaptacije boja slike.</p> / <p>The subject of the thesis was the digital image optimization when an<br />observer represents the main image reproduction limitation or, in other<br />words, the optimization of the perceived image quality by individuals with<br />colour vision deficiencies. The proposed image optimization model enhances<br />colour distinction and gamut for users with different severities of colourblindness<br />while preserving the image naturalness. The used methodological<br />framework, including a quantitative analysis of computer simulations, an<br />analysis of eye-tracking data and a subjective evaluation of the perceived<br />image quality, provides systematic and reliable effectiveness verification of<br />the proposed colour adaptation methods.</p>

No description available.

The purpose of this study is to clarify and confirm previous research and expand the knowledge in this research area, since the majority of the information and knowledge that is available today is mostly repetitive. The theoretical frame of this study is based on theories, such as Theory of Reasoned Action (Fishbein, M. &amp; Ajzen, I. 1967), alongside previous research done in this research area. The previous research consists of, among other things, analysed associations with the six different colours that this study also emphasizes. The theoretical synthesis is based on the deductive process; meaning, the authors of this survey have collected data and by observing this data, the authors determine whether these theories and previous researchers' arguments can be confirmed or not. Since this survey is based on a qualitative research method, the data collection for this study was executed through focus group interviews. The authors of this survey interviewed three focus groups with various participants in each focus group. Considering that this study focuses on the consumer and its behavior in the grocery store, the researchers selected interviewees who themselves are consumers and who regularly shop in the grocery store. In conclusion, the participants in the focus group interviews confirm that colour associations have an impact on their buying behavior in grocery stores.

Pontificia Universidad Católica de Valparaíso

Digital colour cameras are dramatically falling in price, making them a ordable for ubiquitous appliances in many applications. Change in colour perception with changing light conditions induce errors that may escape a user's awareness. Colour constancy algorithms are based on inferring light properties (usually the white point) to correct colour. Other attempts using more data for colour correction such as (ICC based) colour management characterise a capturing device under given conditions through an input device pro le. This pro le can be applied to correct for deviating colour perception. But this pro le is only valid for the speci c conditions at the time of the characterisation, but fails with changes in light. This research presents a solution to the problem of long time observations with changes in the scene's illumination for common natural (overcast or clear, blue sky) and arti cial sources (incandescent or uorescent lamps). Colour measurements for colour based reasoning need to be represented in a robustly de ned way. One such suitable and well de ned description is given by the CIE LAB colour space, a device-independent, visually linearised colour description. Colour transformations using ICC pro le are also based on CIE colour descriptions. Therefore, also the corrective colour processing has been based on ICC based colour management. To verify the viability of CIE LAB based corrective colour processing colour constancy algorithms (White Patch Retinex and Grey World Assumption) have been modi ed to operate on L a b colour tuples. Results were compared visually and numerically (using colour indexing) against those using the same algorithms operating on RGB colour tuples. We can take advantage of the fact that we are dealing with image streams over time, adding another dimension usable for analysis. A solution to the problem of slowly changing light conditions in scenes with a static camera perspective is presented. It takes advantage of the small (frame-to-frame) changes in appearance of colour within the scene over time. Reoccurring objects or (background) areas of the scene are tracked to gather data points for an analysis. As a result, a suitable colour space distortion model has been devised through a rst order Taylor approximation (a ne transformation). By performing a multidimensional linear regression analysis on the tracked data points, parameterisations for the a ne transformations were derived. Finally, the device pro le is updated by amalgamating the corrections from the model into the ICC pro le for a single, comprehensive transformation. Following applications of the ICC based colour pro les are very fast and can be used in real-time with the camera's capturing frame rate (for current normal web cameras and low spec desktop computers). As light conditions usually change on a much slower time scale than the capturing rate of a camera, the computationally expensive pro le adaptation generally showed to be usable for many frames. The goal was to set out and nd a solution for consistent colour capturing using digital cameras, which is capable of coping with changing light conditions. Theoretical backgrounds and strategies for such a system have been devised and implemented successfully.

Digital colour cameras are dramatically falling in price, making them a ordable for ubiquitous appliances in many applications. Change in colour perception with changing light conditions induce errors that may escape a user's awareness. Colour constancy algorithms are based on inferring light properties (usually the white point) to correct colour. Other attempts using more data for colour correction such as (ICC based) colour management characterise a capturing device under given conditions through an input device pro le. This pro le can be applied to correct for deviating colour perception. But this pro le is only valid for the speci c conditions at the time of the characterisation, but fails with changes in light. This research presents a solution to the problem of long time observations with changes in the scene's illumination for common natural (overcast or clear, blue sky) and arti cial sources (incandescent or uorescent lamps). Colour measurements for colour based reasoning need to be represented in a robustly de ned way. One such suitable and well de ned description is given by the CIE LAB colour space, a device-independent, visually linearised colour description. Colour transformations using ICC pro le are also based on CIE colour descriptions. Therefore, also the corrective colour processing has been based on ICC based colour management. To verify the viability of CIE LAB based corrective colour processing colour constancy algorithms (White Patch Retinex and Grey World Assumption) have been modi ed to operate on L a b colour tuples. Results were compared visually and numerically (using colour indexing) against those using the same algorithms operating on RGB colour tuples. We can take advantage of the fact that we are dealing with image streams over time, adding another dimension usable for analysis. A solution to the problem of slowly changing light conditions in scenes with a static camera perspective is presented. It takes advantage of the small (frame-to-frame) changes in appearance of colour within the scene over time. Reoccurring objects or (background) areas of the scene are tracked to gather data points for an analysis. As a result, a suitable colour space distortion model has been devised through a rst order Taylor approximation (a ne transformation). By performing a multidimensional linear regression analysis on the tracked data points, parameterisations for the a ne transformations were derived. Finally, the device pro le is updated by amalgamating the corrections from the model into the ICC pro le for a single, comprehensive transformation. Following applications of the ICC based colour pro les are very fast and can be used in real-time with the camera's capturing frame rate (for current normal web cameras and low spec desktop computers). As light conditions usually change on a much slower time scale than the capturing rate of a camera, the computationally expensive pro le adaptation generally showed to be usable for many frames. The goal was to set out and nd a solution for consistent colour capturing using digital cameras, which is capable of coping with changing light conditions. Theoretical backgrounds and strategies for such a system have been devised and implemented successfully.

Digital colour cameras are dramatically falling in price, making them a ordable for ubiquitous appliances in many applications. Change in colour perception with changing light conditions induce errors that may escape a user's awareness. Colour constancy algorithms are based on inferring light properties (usually the white point) to correct colour. Other attempts using more data for colour correction such as (ICC based) colour management characterise a capturing device under given conditions through an input device pro le. This pro le can be applied to correct for deviating colour perception. But this pro le is only valid for the speci c conditions at the time of the characterisation, but fails with changes in light. This research presents a solution to the problem of long time observations with changes in the scene's illumination for common natural (overcast or clear, blue sky) and arti cial sources (incandescent or uorescent lamps). Colour measurements for colour based reasoning need to be represented in a robustly de ned way. One such suitable and well de ned description is given by the CIE LAB colour space, a device-independent, visually linearised colour description. Colour transformations using ICC pro le are also based on CIE colour descriptions. Therefore, also the corrective colour processing has been based on ICC based colour management. To verify the viability of CIE LAB based corrective colour processing colour constancy algorithms (White Patch Retinex and Grey World Assumption) have been modi ed to operate on L a b colour tuples. Results were compared visually and numerically (using colour indexing) against those using the same algorithms operating on RGB colour tuples. We can take advantage of the fact that we are dealing with image streams over time, adding another dimension usable for analysis. A solution to the problem of slowly changing light conditions in scenes with a static camera perspective is presented. It takes advantage of the small (frame-to-frame) changes in appearance of colour within the scene over time. Reoccurring objects or (background) areas of the scene are tracked to gather data points for an analysis. As a result, a suitable colour space distortion model has been devised through a rst order Taylor approximation (a ne transformation). By performing a multidimensional linear regression analysis on the tracked data points, parameterisations for the a ne transformations were derived. Finally, the device pro le is updated by amalgamating the corrections from the model into the ICC pro le for a single, comprehensive transformation. Following applications of the ICC based colour pro les are very fast and can be used in real-time with the camera's capturing frame rate (for current normal web cameras and low spec desktop computers). As light conditions usually change on a much slower time scale than the capturing rate of a camera, the computationally expensive pro le adaptation generally showed to be usable for many frames. The goal was to set out and nd a solution for consistent colour capturing using digital cameras, which is capable of coping with changing light conditions. Theoretical backgrounds and strategies for such a system have been devised and implemented successfully.

Digital colour cameras are dramatically falling in price, making them a ordable for ubiquitous appliances in many applications. Change in colour perception with changing light conditions induce errors that may escape a user's awareness. Colour constancy algorithms are based on inferring light properties (usually the white point) to correct colour. Other attempts using more data for colour correction such as (ICC based) colour management characterise a capturing device under given conditions through an input device pro le. This pro le can be applied to correct for deviating colour perception. But this pro le is only valid for the speci c conditions at the time of the characterisation, but fails with changes in light. This research presents a solution to the problem of long time observations with changes in the scene's illumination for common natural (overcast or clear, blue sky) and arti cial sources (incandescent or uorescent lamps). Colour measurements for colour based reasoning need to be represented in a robustly de ned way. One such suitable and well de ned description is given by the CIE LAB colour space, a device-independent, visually linearised colour description. Colour transformations using ICC pro le are also based on CIE colour descriptions. Therefore, also the corrective colour processing has been based on ICC based colour management. To verify the viability of CIE LAB based corrective colour processing colour constancy algorithms (White Patch Retinex and Grey World Assumption) have been modi ed to operate on L a b colour tuples. Results were compared visually and numerically (using colour indexing) against those using the same algorithms operating on RGB colour tuples. We can take advantage of the fact that we are dealing with image streams over time, adding another dimension usable for analysis. A solution to the problem of slowly changing light conditions in scenes with a static camera perspective is presented. It takes advantage of the small (frame-to-frame) changes in appearance of colour within the scene over time. Reoccurring objects or (background) areas of the scene are tracked to gather data points for an analysis. As a result, a suitable colour space distortion model has been devised through a rst order Taylor approximation (a ne transformation). By performing a multidimensional linear regression analysis on the tracked data points, parameterisations for the a ne transformations were derived. Finally, the device pro le is updated by amalgamating the corrections from the model into the ICC pro le for a single, comprehensive transformation. Following applications of the ICC based colour pro les are very fast and can be used in real-time with the camera's capturing frame rate (for current normal web cameras and low spec desktop computers). As light conditions usually change on a much slower time scale than the capturing rate of a camera, the computationally expensive pro le adaptation generally showed to be usable for many frames. The goal was to set out and nd a solution for consistent colour capturing using digital cameras, which is capable of coping with changing light conditions. Theoretical backgrounds and strategies for such a system have been devised and implemented successfully.