TY - GEN
T1 - Multi-Resolutional Image Format Using Stochastic Numbers and Its Hardware Implementation
AU - Ishikawa, Ryota
AU - Tawada, Masashi
AU - Yanagisawa, Masao
AU - Togawa, Nozomu
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/2
Y1 - 2020/2
N2 - The popularization of IoT devices made image processing very common for users. Image formats used in hardware abound since there are varieties of IoT devices. Conversion of image formats in hardware is relatively complicated compared with other calculation. This paper focuses on conversion of image resolution, especially image reduction. By expressing images with stochastic numbers, this paper proposes an image format which can be treated to be in several resolution with one data. From experimental evaluations, we found that the proposed image format enables image reduction by pixel average to be implemented into hardware with lower costs compared with conventional pixel average using binary numbers. Also, image magnification using the proposed image format can restore the original image, while conventional image magnification cannot.
AB - The popularization of IoT devices made image processing very common for users. Image formats used in hardware abound since there are varieties of IoT devices. Conversion of image formats in hardware is relatively complicated compared with other calculation. This paper focuses on conversion of image resolution, especially image reduction. By expressing images with stochastic numbers, this paper proposes an image format which can be treated to be in several resolution with one data. From experimental evaluations, we found that the proposed image format enables image reduction by pixel average to be implemented into hardware with lower costs compared with conventional pixel average using binary numbers. Also, image magnification using the proposed image format can restore the original image, while conventional image magnification cannot.
KW - image format
KW - image magnification
KW - image reduction
KW - image resolution
KW - stochastic computing
KW - stochastic number
UR - http://www.scopus.com/inward/record.url?scp=85084297317&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85084297317&partnerID=8YFLogxK
U2 - 10.1109/LASCAS45839.2020.9068967
DO - 10.1109/LASCAS45839.2020.9068967
M3 - Conference contribution
AN - SCOPUS:85084297317
T3 - 2020 IEEE 11th Latin American Symposium on Circuits and Systems, LASCAS 2020
BT - 2020 IEEE 11th Latin American Symposium on Circuits and Systems, LASCAS 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th IEEE Latin American Symposium on Circuits and Systems, LASCAS 2020
Y2 - 25 February 2020 through 28 February 2020
ER -