Image data compression and decompression using minimize size matrix algorithm
AssigneeSheffield Hallam University
InventorsMohammed Siddeq, Marcos Rodrigues
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AssigneeSheffield Hallam University
InventorsMohammed Siddeq, Marcos Rodrigues
Estimating the term…
Computer implemented methods of compressing and decompressing image data are described. A discrete cosine (DCT) transformation is applied to each of a plurality of pixel blocks to generate a set of DCT coefficients for each pixel block comprising a DC DCT coefficient and a plurality of AC DCT coefficient. Each set of DCT coefficients is quantized. A DC array is formed from the set of quantized DC OCT coefficients and an AC matrix is formed from the set of quantized AC DCT coefficients. The AC matrix is compressed by eliminating blocks of data having only zero values and forming a reduced AC array from blocks including non-zero values. The reduced AC array is compressed using a key to form a coded AC array. The DC array and coded AC array are arithmetically coded to form arithmetically coded data which is included in a compressed image file. The decompression method is essentially the reverse process.
A data processing device comprising at least one data processor and a non-transitory computer readable medium coupled to the at least one data processor, the non-transitory computer readable medium storing instructions that when executed by the at least one data processor cause the at least one data processor to perform a process comprising:
A data processing device comprising at least one data processor and a non-transitory computer readable medium coupled to the at least one data processor, the non-transitory computer readable medium storing instructions that when executed by the at least one data processor cause the at least one data processor to perform a process comprising:
A system comprising:
Dependencies are inferred from the claim text.