Sunlight is a multidimensional phenomenon that influences occupant’s comfort and well-being through its dynamic visual and thermal attributes. Previous studies suggested that the presence of sunlight patterns in space was cheering and visually interesting, which could improve visual comfort and space quality. However, it remains unclear what the attributes of visually interesting sunlight patterns are, and whether their visual interest influences visual comfort. This dissertation aims to answer three main questions: (1) is there a difference in visual interest and mood response among different projected light patterns? (2) How do sunlight patterns of different geometries influence visual interest and visual comfort in offices? And (3) what are the geometrical attributes of sunlight patterns that should be implemented in office spaces? To address these questions, a series of four studies were conducted. The first two studies extended empirical findings on visual interest and mood responses elicited by varying complexities of fractal and non-fractal light patterns projected on walls and floors of an interior space. These two studies determined which patterns to be further examined in Studies 3 and 4, which investigated the visual comfort, visual interest of sunlight patterns, and view quality under three different window conditions in office spaces. The results of studies 1 and 2 suggested that fractal light patterns of medium to medium-high complexity, quantified by the fractal dimension in the range (D=1.5-1.7), were significantly more visually interesting than other patterns. Both studies found that fractal compared to non-fractal light patterns provided a better balance between relaxation and excitement. Study 3 found that the fractal pattern was associated with a significant increase in visual comfort, compared to the striped pattern, though the difference in visual interest between the two patterns was not statistically significant. Study 4 found that the effect of the fractal pattern on visual comfort, visual interest of sunlight patterns, and view quality was dependent on occupant’s view direction and façade orientation. These findings can have implications for the design and control of facade systems to improve occupant’s visual comfort, interest, and view quality in work environments. This dissertation includes both previously published/unpublished and co-authored material. / 2019-01-27

<p>Основни допринос ове докторске дисертације је развој алгоритама за објективну процену визуелног квалитета слике синтетизоване применом ДИБР (Depth Image Based Rendering) техника које узрокују неуниформна изобличења у области ивица. Применом нелинеарних морфолошких филтара у мултирезолуционој декомпозицији слика код израчунавања предложене метрике, важне геометријске информације као што су ивице су добро очуване без помака и замућења у сликама на различитим скалама мултирезолуционе репрезентације. Израчунавањем МСЕ по подопсезима који садрже ивице, пиксел по пиксел, прецизно се мери разлика две мултирезолуционе репрезентације. Тако се највећи значај у процени квалитета додељује области ивица. Процене предложене метрике се добро поклапају са субјективним оценама.</p> / <p>Osnovni doprinos ove doktorske disertacije je razvoj algoritama za objektivnu procenu vizuelnog kvaliteta slike sintetizovane primenom DIBR (Depth Image Based Rendering) tehnika koje uzrokuju neuniformna izobličenja u oblasti ivica. Primenom nelinearnih morfoloških filtara u multirezolucionoj dekompoziciji slika kod izračunavanja predložene metrike, važne geometrijske informacije kao što su ivice su dobro očuvane bez pomaka i zamućenja u slikama na različitim skalama multirezolucione reprezentacije. Izračunavanjem MSE po podopsezima koji sadrže ivice, piksel po piksel, precizno se meri razlika dve multirezolucione reprezentacije. Tako se najveći značaj u proceni kvaliteta dodeljuje oblasti ivica. Procene predložene metrike se dobro poklapaju sa subjektivnim ocenama.</p> / <p>The main contribution of this doctoral thesis is the development of algorithms for objective<br />DIBR-synthesized view quality assessment. DIBR algorithms introduce nonuniform<br />geometric distortions affecting the edge coherency in the synthesized images.The non-linear<br />morphological filters used in multi-scale image decompositions of the proposed metric<br />maintain important geometric information such as edges across different resolution<br />levels.Calculating MSE pixel-by-pixel through subbands in which the edges are extracted,<br />the difference of the two multiresolution representations, the reference and the synthesized<br />image, is precisely measured. In that way the importance of edge areas which are prone to<br />synthesis artifacts is emphasized in the image quality assessment. The proposed metric has<br />very good agreement with human judgment.</p>