|
|
Automated Testing of Image Compressions
Matela, Vít ; Madzin, Matúš (referee) ; Luhan, Jan (advisor)
This thesis deals with the problem of automated testing software for image and video compression developed by the company Comprimato. This work was analyzed in the current testing environment in the company. Based on the resaults of this analysis, I designed and implemented a new automated testing system. Also included is a summary of the economic impact and recommendations for the future purchase of a new test hardware.
|
|
|
Lossy Image Compression
Bařina, David ; Herout, Adam (referee) ; Sumec, Stanislav (advisor)
This thesis deals with advanced methods of lossy image compression. To the midst of these methods belong the discrete cosine transform and Haar's discrete wavelet transform. Furthermore principles of color models and algorithms used in lossless data compression are explained in this text. The purpose of this thesis is the library implementation that is based on these cognizances.
|
|
|
Image Compression Using the Wavelet Transform
Přikryl, Lukáš ; Maršík, Lukáš (referee) ; Bařina, David (advisor)
The thesis discusses the image compression using the wavelet transform. The compression itself is done by EZW, SPIHT or EBCOT Tier1 algorithms. These algorithms are then compared to JPEG and JPEG2000 standards. Furthermore tiles, various wavelets and RGB and Y'CbCr color spaces were used to determine the influence on an image compression quality.
|
|
|
Image compression in interactive applications in digital video broadcasting
Bodeček, Kamil ; Vrba, Kamil (advisor)
Compressed images are used very frequently in interactive applications in digital video broadcasting. New methods increasing efficiency of the image transmission in digital video broadcasting networks are proposed. Adaptive spatial filtering methods have been proposed for enhancement of the visual perception of the compressed images. New optimalization method is based on application of the filtering algorithms on more compressed images (data size are reduced). Visual quality enhancement is processed in interactive application. Further, new compression methods JPEG2000 and H.264 for image compression have been analysed. Novel compound image compression method for standard and high spatial television resolution is proposed in the thesis.
|
|
|
Image Compression Based on Artificial Neural Network
Vondráček, Jiří ; Pohl, Jan (referee) ; Jirsík, Václav (advisor)
The thesis is focused on the image compression based on artificial neural network with practical implementation. The objective of this thesis is to explore possibilities of an image compression by artificial neural network and analyze results. In the theoretical part of the work, the fundamentals of artificial neural network are described and basic image compression techniques are explained. In the practical part there is a brief description of the compression program, the comparison of different settings and result evaluation.
|
|
|
Implementation of video compression into FPGA chip
Tomko, Jakub ; Fujcik, Lukáš (referee) ; Bohrn, Marek (advisor)
This thesis is focused on the compression algorithm's analysis of MJPEG format and its implementation in FPGA chip. Three additional video bitstream reduction methods have been evaluated for real-time low latency applications of MJPEG format. These methods are noise filtering, inter-frame encoding and lowering video's quality. Based on this analysis, a MJPEG codec has been designed for implementation into FPGA chip XC6SLX45, from Spartan-6 family.
|
|
|
Applications of wavelet transform in Mathematica and Sage
Novotný, Radek ; Trzos, Michal (referee) ; Rajmic, Pavel (advisor)
This thesis focuses on image processing using wavelet transform. The usage of wavelet transform is analysed especially for image compression and image noise reduction purposes. The analysis describes in detail aspects and application of the following wavelet transform methods: CWT, DWT, DTWT, 2D DWT. The thesis further explains the meaning of the mother wavelet and studies certain specific kinds of wavelets, kinds of thresholding and its purposes and also touches on the JPEG2000 standard. Mathematica and Sage software packages were used to design algorithms for image compression and image noise reduction, utilising relevant wavelet transform findings. The concluding part of the thesis compares the two software packages and results obtained using different algorithms.
|
|
|
Applications of wavelet transform in Mathematica and Sage
Novotný, Radek ; Trzos, Michal (referee) ; Rajmic, Pavel (advisor)
This thesis focuses on image processing using wavelet transform. The usage of wavelet transform is analysed especially for image compression and image noise reduction purposes. The analysis describes in detail aspects and application of the following wavelet transform methods: CWT, DWT, DTWT, 2D DWT. The thesis further explains the meaning of the mother wavelet and studies certain specific kinds of wavelets, kinds of thresholding and its purposes and also touches on the JPEG2000 standard. Mathematica and Sage software packages were used to design algorithms for image compression and image noise reduction, utilising relevant wavelet transform findings. The concluding part of the thesis compares the two software packages and results obtained using different algorithms.
|
|
|
Using wavelet packet transformation for image compression
Kučera, Michal ; Rajmic, Pavel (referee) ; Kyselý, František (advisor)
The need for storing and transferring digital image data is still growing nowadays. The Compression is necessary to achieve effective usage of transfer and storage capacity. This Bachelor’s Thesis is concerned with compression method based on wavelet packet transform, which is derived from wavelet transform. It is focused especially on best basis search algorithms from whole wavelet packet tree. There is a comparison between 6 best basis and near-best basis search criterions by R. R. Coifman, M. V. Wickerhauser and C. Taswell in this thesis, which is achieved by using Matlab environment based program. The program was created for testing and demonstrative purpose only and that’s why it contains certain limitation such as only black and white image processing and its limited resolution. There is applied constant threshold on testing image after the several best basis criterions application. The Mean Squared Error is used for comparing outcome quality of compressed and original image. The function that acquires minimal Mean Squared Error is considered the best best-basis search criterion in term of visual quality. The results show that some of the Taswell’s functions significantly improve the visual quality of the image at the price of worse compression ratio against common Shannon entropy.
|
|
|
Compression algorithms and image processing
Šimek, Josef ; Číka, Petr (referee) ; Kyselý, František (advisor)
The method of image acquisition and processing has a decisive influence on the resulting form and size of the data, which represent the image. For the correct interpretation of the image, it is necessary to understand how the data are generated. This bachelor’s thesis deals with the problem of obtaining and modification of image data. The general procedures based on the mathematical and physical principles are analyzed. Attention is focused on closer study of JPEG and JPEG2000 compression algorithms, as effective tools for reducing the volume of image data. The purpose of this thesis is to create a JPEG video codec and to test its effectiveness in data compression. Furthermore, to find and implement a method for the suppression of blocking artifacts in compressed image, which greatly reduce its quality. The implementation will use MATLAB environment, which offers wide support for working with image data. In the final part we will compare the algorithms of JPEG and JPEG2000 in the created application. We will focus on the subjective and objective evaluation of the quality of compressed images. To work with JPEG2000 format the programs Kakadu and JPEG2000 Compressor will be used.
|
guest ::
