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Phd thesis on image compression

(2005)Wavelet-based image compression for mobile applications. PhD thesis, Middlesex University.

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Thesis on image compression by Rhonda Strickland - …

Engineering studies at Etsetb (UPC) in 2000, after completing his master thesis on image compression at the Vrije Universiteit in Brussels (VUB) under the direction of Professor Peter Schelkens.

 and  (2009) Image Compression & Transmission through Digital Communication System. BTech thesis.

Ingole " Factors influencing the image compression of artificial and natural image using wavelet transform"International Journal of Engineering Science and Technology Vol.

Image compression thesis pdf - MVP Sports

Therefore development of efficient techniques for image compression has become quite necessary.

The first described algorithm is a dual wavelet compression algorithm, which is a modified conventional wavelet compression method. The algorithm uses different wavelet filters to decompose the luminance and chrominance components separately. In addition, different levels of decomposition can also be applied to each component separately. The second algorithm is segmented wavelet-based, which segments an image into its smooth and nonsmooth
parts. Different wavelet filters are then applied to the segmented parts of the image. Finally, the third algorithm is the hybrid wavelet-based compression System (HWCS), where
the subject of interest is cropped and is then compressed using a wavelet-based method. The details of the background are reduced by averaging it and sending the background separately from the compressed subject of interest. The final image is reconstructed by replacing the averaged background image pixels with the compressed cropped image.

For each algorithm the experimental results presented in this thesis clearly demonstrated that encoder output can be effectively reduced while maintaining an acceptable image visual quality particularly when compared to a conventional wavelet-based compression scheme.

Thesis image compression by Natalie Gutierrez - issuu

Wu,

Anand "Performance Analysis of medical Image Compression Techniques with respect to the quality of compression" IET-UK Conference on Information and Communication Technology inElectrical Sciences (ICTES 2007)pp743-750.
[5] K.

Progressive image compression methods are more efficient than conventional wavelet based compression methods it gives the facility to user choose the best compressed image which does not have recognizable quality loss.

Key words: Compression, SPIHT, PSNR, MSE,Wavelet.

Reference
[1] Sadashivappan Mahesh Jayakar, K.V.S Anand Babu, Dr Srinivas K "Color Image Compression Using SPIHT Algorithm" International Journal of ComputerApplications (0975 – 8887) Volume 16–No.7, February 2011 pp 34-42.
[2] David F.

and  (2009) Image Compression using Discrete Cosine Transform & Discrete Wavelet Transform. BTech thesis.
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  • Image Compression addresses the problem of reducing the amount of ..

    The aim of this master 's thesis was to design, develop and test a method for lossless image compression.

  • Image Compression addresses the ..

    thesis image compression - …

  • Medical Image Compression Thesis - …

    Multi-scale techniques have been popular methods for image and video compression

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D, dissertation, Yale Univ., 1994. phd thesis image compression.

The design of data compression schemes involves trade-offs among various factors, including the degree of compression, the amount of distortion introduced (if using a lossy compression scheme) and the computational resources required for compressing and decompressing of images.

Compression image master thesis

Wavelet based compression methods, when combined with SPIHT (Set Partitioning in Hierarchical Trees) algorithm gives high compression ratio along with appreciable image quality (like lossless).

Image compression using wavelet transform ..

These images can be very large in size and can occupy a lot of memory, so compression of images is required for efficient transmission and storage of images.

In the thesis image compression techniques using DCT ..

Various ROI coding techniques for still image compression are general scaling based method, max-shift method, bitplane-by-bitplane shift method (BbBShift), partial significant bitplane shift method (PSBShift) and ROITCOP (ROI coding through component priority) method.

Thesis On Image Compression Using ..

Wakatani, "Digital Watermarking for ROI Medical Images by Using Compressed Signature Image", Proceedings of the 35th International Conference on System Sciences, Vol 10 pp.

03/10/2017 · Thesis On Image Compression Using ..

Image Compression addresses the problem of reducing the amount of data required to represent the digital image. Compression is achieved by the removal of one or more of
three basic data redundancies: (1) Coding redundancy, which is present when less than optimal (i.e. the smallest length) code words are used; (2) Interpixel redundancy, which results from correlations between the pixels of an image & (3) psycho visual redundancy which is due to data that is ignored by the human visual system (i.e. visually
nonessential information). Huffman codes contain the smallest possible number of code symbols (e.g., bits) per source symbol (e.g., grey level value) subject to the constraint that the source symbols are coded one at a time. So, Huffman coding when combined with technique of reducing the image redundancies using Discrete Cosine Transform (DCT)
helps in compressing the image data to a very good extent.
The Discrete Cosine Transform (DCT) is an example of transform coding. The current JPEG standard uses the DCT as its basis. The DC relocates the highest energies to the upper left corner of the image. The lesser energy or information is relocated into other areas. The DCT is fast. It can be quickly calculated and is best for images with smooth edges like photos with human subjects. The DCT coefficients are all real numbers unlike the Fourier
Transform. The Inverse Discrete Cosine Transform (IDCT) can be used to retrieve the image from its transform representation. The Discrete wavelet transform (DWT) has gained widespread acceptance in signal processing and image compression. Because of their inherent multi-resolution nature, wavelet-coding schemes are especially suitable for applications where scalability and tolerable degradation are important. Recently the JPEG committee has released its new image coding standard, JPEG-2000, which has been based upon DWT.

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