کنفرانس مهندسی برق ایران

صفحه اصلی / سی و یکمین کنفرانس بین المللی مهندسی برق

Efficient Full Adders for Approximate Arithmetic Units in the Image Processing Applications

نویسندگان :

Bahram Rashidi¹

1- دانشگاه آیت الله بروجردی

کلمات کلیدی :

Approximate computing

چکیده :

In this paper, the efficient full adders for approximate arithmetic units in image processing applications are presented. The image processing can be implemented in an error-tolerant mode with acceptable accuracy. The arithmetic operations in digital image processing are performed by using adders and multipliers, which are realized based on full adders. Therefore, three area and delay efficient imprecise full adders are formulated by using the approximation in gate level. The structures are implemented by 2-input NAND and 2-input NOR gates to reduce delay and area. The proposed full adders are compared from hardware and accuracy point of view such as gate count, area-delay product (ADP), error rate (ER), mean error distance (MED), and mean relative error distance (MRED). The efficacy of the proposed full adders in image processing applications such as image Blending and image Sharpening is performed using MATLAB. The results show the proposed approximate full adders are comparable in terms of area, delay, and mean structural similarity index metric (MSSIM) with other works.

لیست مقالات

لیست مقالات بایگانی شده

Shielding factor enhancement method for Bi-stage active shield in SQUID-based Magnetocardiography system

Zeynab Alipour - Fatemeh Esmaili - Faezeh Shanehsazzadeh - Mehdi Fardmanesh

تحلیل حرارتی لیزر تابنده از سطح کاواک-عمودی با ساختار بازتابگر ترکیبی توری کنتراست بالا یکپارچه و بازتابشگر براگ

حسن هوشدار رستمی - وحید احمدی - سعید پهلوان

طراحی سازه ی الکترودی بهینه جهت انجام آزمایشات امپدانس متری سلولی و غیر سلولی

علی منفردی - نسرین هاشمی - مهرداد ساویز

Machine Learning-based Fundamental Stock Prediction Using Companies’ Financial Reports

Hossein Rezaei - Kamran Abdi - Mohsen Hooshmand

40Hz Auditory Entrainment Promotes Synchronization Between Frontal and Parietal Regions of the Brain

Mojtaba Lahijanian - Hamid Aghajan

Observer-Based Control for impulsive switched systems with Uncertain inputs

Soheil Sheikh ahmadi - Farzad Hashemzadeh - Mohammad Ali Badamchizadeh

Development of Iterative Learning Control Method for Trajectory Tracking in Two-Dimensional Discrete-Time Systems

Meysam Azhdari - Tahereh Binazadeh - Soheila Abedi

یادگیری متری عمیق جهت شناسایی افراد

امیرعلی نسیمی - مهران صفایانی - مائده احمدی - عبدالرضا میرزائی

Adaptive Control of Switched Nonlinear Systems with Unknown Control Directions

ٍElham Ovaysi - Marzieh Kamali

A Deep Learning-Based Model for House Number Detection And Recognition

Roghaiyeh Tayefeh Younesi - Jafar Tanha - Samaneh Namvar - Sahar Hassanzadeh Mostafaei

بیشتر

ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 41.7.4