Invention Grant
- Patent Title: Image data compression and decompression using minimize size matrix algorithm
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Application No.: US15553503Application Date: 2016-02-26
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Publication No.: US10432971B2Publication Date: 2019-10-01
- Inventor: Mohammed Siddeq , Marcos Rodrigues
- Applicant: Sheffield Hallam University
- Applicant Address: GB Yorkshire
- Assignee: Sheffield Hallam University
- Current Assignee: Sheffield Hallam University
- Current Assignee Address: GB Yorkshire
- Agency: Dunlap Codding, P.C.
- Priority: GB1503433.3 20150227
- International Application: PCT/GB2016/050512 WO 20160226
- International Announcement: WO2016/135510 WO 20160901
- Main IPC: H04N19/18
- IPC: H04N19/18 ; H04N19/625 ; H04N19/48 ; H04N19/126 ; H04N19/182

Abstract:
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.
Public/Granted literature
- US20180242020A1 IMAGE DATA COMPRESSION AND DECOMPRESSION USING MINIMIZE SIZE MATRIX ALGORITHM Public/Granted day:2018-08-23
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