Open AccessImprecise 4‐2 compressor design used in image processing applications
Author(s) -
Chang YenJen,
Cheng YuCheng,
Lin YiFong,
Liao ShaoChi,
Lai ChunHsiang,
Wu TungChi
Publication year - 2019
Publication title -
iet circuits, devices and systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.251
H-Index - 49
ISSN - 1751-8598
DOI - 10.1049/iet-cds.2018.5403
Subject(s) - gas compressor , multiplier (economics) , computer science , peak signal to noise ratio , image quality , power consumption , power (physics) , algorithm , image (mathematics) , artificial intelligence , engineering , mechanical engineering , physics , quantum mechanics , economics , macroeconomics
Approximate computing can be used in the error‐tolerant applications since it can provide meaningful results with lower power consumption. In this study, the authors proposed a novel imprecise 4‐2 compressor which is used in the multipliers of image processing applications. Besides the output values, they also consider the pattern distribution to resynthesise the 4‐2 compressor in imprecise style. Compared to the precise compressor, the proposed imprecise 4‐2 compressor can reduce power consumption and delay by 56 and 39%. Compared to the precise multiplier, the simulation results show that the multiplier which uses the proposed imprecise 4‐2 compressor can achieve 33 and 30% improvement in power consumption and delay, respectively. In addition, the image quality of their design is good for human perception because peak signal‐to‐noise ratio PSNR values are more than 33 and mean structural similarity values are more than 0.99. Even compared to the related imprecise works, their design has a better error rate to improve the quality of images while maintains both the high power efficiency and low circuit complexity.