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dc.contributor.authorSengupta, Anirban
dc.contributor.authorRoy, Dipanjan
dc.contributor.authorMohanty, Saraju
dc.contributor.authorCorcoran, Peter
dc.identifier.citationSengupta, Anirban; Roy, Dipanjan; Mohanty, Saraju; Corcoran, Peter (2017). A framework for hardware efficient reusable ip core for grayscale image codec. IEEE Access 6 ,
dc.description.abstractThis paper proposes two major novelties. First, we provide a mathematical framework for hardware resource efficient IP core-based image compression and decompression (CODEC). The framework includes CODEC functions that are capable of determining the pixel intensities of a compressed gray scale image using significantly lesser hardware resources. Digital pixel values of the original image are fed as an input to the functions of proposed IP framework and compressed digital pixel values of compressed image generated. Similarly, digital pixel values of the compressed image are fed into other functions of the proposed framework for image decompression. Second, the second novelty is using the derived IP functions to propose designs of reusable IP cores for complete Haar wavelet transformation (HWT)-based lossy image CODEC. Testing of images from various data sets (NASA, medical applications, and so on) in terms of hardware resources, image quality, and compression efficiency have indicated that the proposed IP core framework was successful in achieving hardware efficient CODEC compared with JPEG and conventional HWT CODECs.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofIEEE Access
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland
dc.subjectip core
dc.subjecthardware efficient
dc.subjectpixel intensity
dc.subjectdigital camera
dc.titleA framework for hardware efficient reusable ip core for grayscale image codec

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Attribution-NonCommercial-NoDerivs 3.0 Ireland
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Ireland