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Methods for increasing bit-depth in images
Záviška, Pavel ; Koldovský, Zbyněk (referee) ; Rajmic, Pavel (advisor)
The goal of this bachelor thesis is the application of an issue of sparse representations on the task of increasing bit-depth in images. Standard methods for bit-depth expansion are described, subsequently a method using sparse representation of an image signal is introduced. Methods are programmed in the Matlab enviroment. The results of the methods implemented are compared by using PSNR, SSIM objective indexes and subjectively using an online questionnaire.
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Reconstruction of signal modified by fade-in/fade-out
Bača, Petr ; Kiska, Tomáš (referee) ; Rajmic, Pavel (advisor)
This thesis contains the theory needed to solve the special problem of bit-depth expansion. The goal is to reconstruct the signal which suffered from application of the fade-in, fade-out effect. The theory includes information of analog to digital conversion and the theory of sparse representations. Thesis formulates the task of bit-depth expansion and advices the algorithm to solve it. Furthermore, the realization of the issue is discussed and the results are given.
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Image Bit-Depth Expansion Method Based On Sparse
Representations
Záviška, Pavel
In this paper, a method for restoration of low bit-depth images based on sparse representations is presented. Proposed method is independent on the transform used, however for the purposes of experiments, Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) are used. The experiments show that our method enhances the visual quality of low bit-depth images and performs better, in terms of PSNR, than basic bit-depth expansion methods.
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Reconstruction of signal modified by fade-in/fade-out
Bača, Petr ; Kiska, Tomáš (referee) ; Rajmic, Pavel (advisor)
This thesis contains the theory needed to solve the special problem of bit-depth expansion. The goal is to reconstruct the signal which suffered from application of the fade-in, fade-out effect. The theory includes information of analog to digital conversion and the theory of sparse representations. Thesis formulates the task of bit-depth expansion and advices the algorithm to solve it. Furthermore, the realization of the issue is discussed and the results are given.
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|
|
Methods for increasing bit-depth in images
Záviška, Pavel ; Koldovský, Zbyněk (referee) ; Rajmic, Pavel (advisor)
The goal of this bachelor thesis is the application of an issue of sparse representations on the task of increasing bit-depth in images. Standard methods for bit-depth expansion are described, subsequently a method using sparse representation of an image signal is introduced. Methods are programmed in the Matlab enviroment. The results of the methods implemented are compared by using PSNR, SSIM objective indexes and subjectively using an online questionnaire.
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