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- W4377081348 abstract "Color space conversion in imaging using floating-point (FP) arithmetic requires simple multiplication and adder units that consume less area and power. This paper presents directly truncated single precision floating-point multiplier using new bit pair recoding (NBPR) algorithm for area and power-efficient RGB-to-grayscale conversion. The NBPR has a major impact on partial product reduction which reduces the height of the partial product row for n-bit multiplication, from n to n/4. The algorithm generates approximately 57% less partial product rows when compared to the modified booth encoding (MBE) algorithm without performing ‘neg’ term and sign extension computation. This eliminates the necessity of additional circuitry involved in MBE that saves large area and power. Also, the direct truncation implies the truncation error of 0.0045% which is acceptable for error-tolerant image processing applications. The proposed floating-point multiplier is validated with red, green, and blue (RGB) to gray image converting application and produces the images with enhanced peak signal-to-noise ratio (PSNR). The implementation results in a TSMC 65 nm CMOS technology show that the NBPR floating-point multiplier achieves 76% and 50% of reductions in area and power, respectively, when compared to conventional booth floating-point multiplier." @default.
- W4377081348 created "2023-05-20" @default.
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- W4377081348 date "2023-01-01" @default.
- W4377081348 modified "2023-09-27" @default.
- W4377081348 title "RGB-to-Grayscale Conversion Using Truncated Floating-Point Multiplier" @default.
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- W4377081348 doi "https://doi.org/10.1007/978-981-19-8338-2_37" @default.
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