Abstract
Color Space Conversion (CSC) in image processing applications, demands computationally simple floating point multipliers consuming less area and power. This necessitates the design and realization of the same meeting the aforesaid concerns. This paper makes one such contribution in the form of a New Bit Pair Recoding (NBPR) algorithm for realizing a Data Length Reduction (DLR)-based 16-bit Half-Precision Floating Point Multiplier (HPFPM). This algorithm with merged partial product addition achieves partial product height reduction from n to \(\frac {n}{4}\) for an n × n multiplier by evading 2’s complement, negative encoding and sign extension. HPFPM is implemented on both Application Specific Integration Circuit (ASIC) with TSMC 180, 130 and 65 nm technologies and Xilinx-Virtex-5 and Virtex-7 Field Programmable Gate Array (FPGA) families. HPFPM synthesized on TSMC 65nm consumes 51% and 55.8% of area and power respectively, with 0.6835% error when compared with full width half-precision multiplier. Also, HPFPM for RGB-YUV-RGB and RGB-YCbCr-RGB conversion reduces the area, power consumption by 11%, 12% respectively, with 93.2% improved accuracy, when compared with truncated 32-bit single-precision floating point multipliers (SPFPMs). The converted image is evaluated using Peak-Signal-to-Noise-Ratio (PSNR) and Mean Square Error (MSE) in Matlab for quantifying HPFPM suitability for CSC in imaging.
Similar content being viewed by others
References
Ahmad A, Amira A, Rabah H, Berviller Y (2012) Medical image denoising on field programmable gate array using finite Radon transform. IET Signal Process 6 (9):862–870
Antelo E, Montuschi P, Nannarelli A (2017) Improved 64-bit Radix-16 Booth Multiplier Based on Partial Product Array Height Reduction. IEEE Trans Circ Syst I: Reg Paper 64(2):409–418
Bensaali F, Amira A (2004) Design and efficient FPGA implementation of an RGB to YCrcb color space converter using distributed arithmetic. Springer Lect Notes Comput Sci 12:991–995
Borwankar RM, Ludwig R (2017) A FPGA-based feature extraction using reconfigurable rotated wavelet transform for various classification schemes. In: IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS), pp 969–972
Cho KJ, Lee KC, Chung JG, Parhi KK (2004) Design of low-error fixed-width modified booth multiplier. IEEE Trans Very Large Scale Integr Syst 12:522–531
Ehsan S, McDonald MKD (2009) Exploring integral image word length reduction techniques for SURF detector. Second International Conference on Computer and Electrical Engineering, pp 635–639
Gonzalez N -S, Tsen C, Schulte MJ (2013) Binary integer Decimal-Based Floating-Point multiplication. IEEE Trans Comput 62(7):1460–1466
Hashemi S, Bahar RI, Reda S (2015) DRUM: A dynamic range unbiased multiplier for approximate applications. In: Proceedings of International Conference on Computer Aided Design, pp 418–425
Hormigo J, Villalba J (2017) HUB Floating point for improving FPGA implementations of DSP applications. IEEE Trans Circ Syst II: Express Briefs 64 (3):319–323
IEEE Standards Board (2008) IEEE standard for floating point Arithmetic. ANSI/IEEE Stand 754-2008:1–70
ITU-R Recommendation BT.709-5 (2002) Parameter Values for the HDTV Standards for Production and for International Programme Exchange. International Telecommunication Union
Jaiswal MK, Cheung RCC (2013) Area-efficient architectures for double precision multiplier on FPGA, with run-time-reconfigurable dual single precision support. Microelectron J 44(5):421–430
Jean JJN, Sivanantham S (2016) An Efficient Single Precision Floating Point Multiplier Architecture based on Classical Recoding Algorithm. Indian Journal of Science and Technology 9(5):1–7. https://doi.org/10.17485/ijst/2016/v9i5/87159
Jean JJN, Sivanantham S (2017) An area-efficient 32-bit floating point multiplier using hybrid GPPs addition. International conference on Microelectronic Devices. Circuits and Systems (ICMDCS), pp 1–4
Jiang X, Xiao P, Qiu M, Wang G (2013) Performance effects of pipeline architecture on an FPGA-based binary32 floating point multiplier. Microprocess Micro Syst 37(8):1183–1191
Khang TN (2013) Intel half precision floating-point format conversion instructions. https://software.intel.com/en-us/blogs/2013/09/30/intel-half-precision-floating-point-format-conversion-instructions
Kuang SR, WU KY, Yu KK (2013) Energy Efficient Multiple-precision floating point multiplier for embedded applications. J sign Process Syst 72:43–55
Lacassagne L, Etiemble D, Kablia SAO (2005) 16-bit floating point instructions for embedded multimedia applications. In: Seventh International Workshop on Computer Architecture for Machine Perception, pp 198–203
Lastra PJ, Singh M. (2008) Energy-precision tradeoffs in mobile graphics processing units. In: Proceedings of the IEEE International Conference on Computer Design, pp 60–67
Liu ZG, Du SY, Yang Y, Ji XH (2014) A fast algorithm for color space conversion and rounding error analysis based on fixed-point digital signal processors. Comput Electr Eng 40(4):1405–1414
Liu Y, Zhang Y, Zhang C (2015) A fast algorithm for YCbCr to perception color model conversion based on fixed-point DSP. Multimed Tools Appl 74(15):6041–6067
Liu W, Qian L, Wang C, Jiang H, Han J, Lombardi F (2017) Design of approximate radix-4 booth multipliers for Error-Tolerant computing. IEEE Trans Comput 66(8):1435–1441
Mallipeddi S, Stine JE (2015) Revisiting redundant Booth with bias multipliers. In: IEEE 58th International Midwest Symposium on Circuits and Systems (MWSCAS), pp 1–4
Narayanamoorthy S, Moghaddam HA, Liu Z, Park T, Kim NS (2015) Energy-efficient approximate multiplication for digital signal processing and classification applications. IEEE Trans VLSI Syst 23(6):1180–1184
Patrick K (2012) Performance benefits of half precision floats. https://software.intel.com/en-us/articles/performance-benefits-of-half-precision-floats
Pham TH, Tran P, Lam S (2019) High-throughput and Area-Optimized Architecture for rBRIEF Feature Extraction. IEEE Trans Very Large Scale Integr (VLSI) Syst 27(4):747–756
Saadat H, Bokhari H, Parameswaran S (2018) Minimally biased multipliers for approximate integer and Floating-Point multiplication. IEEE Trans Comput-Aided Des Integr Circ Syst 37(11):2623–2635
SIPI Image Database. http://sipi.usc.edu/database
Tong JYF, Nagle D, Rutenbar RA (2000) Reducing power by optimizing the necessary precision/range of floating-point arithmetic. IEEE Trans Very Large Scale Integr Syst 8:273–286
Venkatachalam S, Ko SB (2017) Design of power and area efficient approximate multipliers. IEEE Trans Very Large Scale Integr (VLSI) Syst 25(5):1782–1786
Warden P (2015) Why are 8 bits enough for deep neural networks. https://petewarden.com/2015/05/23/why-are-eight-bits-enough-for-deep-neural-networks
Wu KY, Liang YKK, Kuang SR (2013) An exact method for estimating maximum errors of multi-mode floating-point iterative booth multiplier. Int J Comput Sci Eng 8(4):306–315
Xu N, Kim YT (2009) Luminance preserving color conversion for 24-bit RGB displays. In: IEEE 13th International Symposium on Consumer Electronics, pp 271–275
Xue J, Cao X (2012) Color space conversion based on FPGA. In: IEEE International Conference on Computer Science and Automation Engineering (CSAE), pp 422–425
Yahiaoui R, Alilat F, Loumi S (2017) Parallelization of Fuzzy ARTMAP Architecture on FPGA: Multispectral Classification of ALSAT-2A Images. IEEE Trans Ind Electron 64(12):9487–9495
Yang Y, Yuhua P, Zhaoguang L (2007) A Fast Algorithm for YCbcr to RGB Conversion. IEEE Trans Consum Electron 53(4):1490–1493
Zhang Z, He Y (2018) A Low-Error Energy-Efficient Fixed-Width booth multiplier with Sign-Digit-Based conditional probability estimation. IEEE Trans Circ Syst II: Express Briefs 65(2):236–240
Zhang X, Dai J, Pang C, Zou F (2012) New chroma intra prediction modes based on a linear model for HEVC. In: 19th IEEE International Conference on Image Processing, pp 197–200
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Nesam, J.J.J., Sivanantham, S. Efficient half-precision floating point multiplier targeting color space conversion. Multimed Tools Appl 79, 89–117 (2020). https://doi.org/10.1007/s11042-019-08040-y
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11042-019-08040-y