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Adaptive image sharpening
Jakubíček, Roman ; Odstrčilík, Jan (referee) ; Jan, Jiří (advisor)
This thesis is the analysis of the problem and technical report that supports a computer program for enhancement image. The main objective of picture processeng is adaptive sharpening, which is obtained by the application of a local convolutional operator. The decision on the degree of sharpening at individual pixels is based on the value of the local standard deviation of brightness. The degree of sharpening can take binary or continuous values. The first part of the report briefly discusses the theory of adaptive image sharpening. Knowledge of this theory is necessary for understanding the remaining chapters, which describe the individual algorithms including flows-diagrams, implementation of the program and graphical enviroment and also assess the achieved results, including demonstration on examples. The last section of the report deals with variability of images and it’s influence on settings parameters of sharpening.
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Capturing Very High Quality Images of Planar Surfaces by a Smartphone
Šebela, Vít ; Hradiš, Michal (referee) ; Herout, Adam (advisor)
The main goal of this bachelor's thesis is to design and create mobile app for iOS platform, which will allow the capture of high quality image of planar surface. Application can be used in lots of use cases where high quality of captured image is needed, like capturing photo of contract, wood pattern or book cover. Main building block of the application is to capture set of photos of planar surface, which is then used for calculation of the resulting high quality image. Calculation is performed using OpenCV library. Planar homography is used for image alignment, the quality of the resulting image is then achieved by combination of image averaging techniques, increase of resolution and reconstruction of details using Lanczos interpolation and image sharpening using Unsharp mask technique.
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Capturing Very High Quality Images of Planar Surfaces by a Smartphone
Šebela, Vít ; Hradiš, Michal (referee) ; Herout, Adam (advisor)
The main goal of this bachelor's thesis is to design and create mobile app for iOS platform, which will allow the capture of high quality image of planar surface. Application can be used in lots of use cases where high quality of captured image is needed, like capturing photo of contract, wood pattern or book cover. Main building block of the application is to capture set of photos of planar surface, which is then used for calculation of the resulting high quality image. Calculation is performed using OpenCV library. Planar homography is used for image alignment, the quality of the resulting image is then achieved by combination of image averaging techniques, increase of resolution and reconstruction of details using Lanczos interpolation and image sharpening using Unsharp mask technique.
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| |
|
|
Adaptive image sharpening
Jakubíček, Roman ; Odstrčilík, Jan (referee) ; Jan, Jiří (advisor)
This thesis is the analysis of the problem and technical report that supports a computer program for enhancement image. The main objective of picture processeng is adaptive sharpening, which is obtained by the application of a local convolutional operator. The decision on the degree of sharpening at individual pixels is based on the value of the local standard deviation of brightness. The degree of sharpening can take binary or continuous values. The first part of the report briefly discusses the theory of adaptive image sharpening. Knowledge of this theory is necessary for understanding the remaining chapters, which describe the individual algorithms including flows-diagrams, implementation of the program and graphical enviroment and also assess the achieved results, including demonstration on examples. The last section of the report deals with variability of images and it’s influence on settings parameters of sharpening.
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