Vision transformers (ViTs) have excelled in computer vision (CV) tasks but are memory-consuming and computation-intensive, challenging their deployment on resource-constrained devices. To tackle this limitation, prior works have explored ViT-tailored ...

This article presents and demonstrates the design of a high dynamic range (HDR) CMOS image sensor (CIS). Detailed operation of various comparator circuits is analyzed. A low-noise, area-efficient, wide-input range comparator is proposed for HDR ...

Multiobject detection has become an integral component in various neural applications, such as autonomous driving and augmented reality. The system should be able to recognize and process multiple objects simultaneously. Moreover, the performance ...

Memory bandwidth has become the real-time bottleneck of current deep learning accelerators (DLAs), particularly for high definition (HD) object detection. Under resource constraints, this article proposes a low memory traffic DLA chip with joint hardware ...

Image dehazing is an essential preprocessing stage for several applications such as surveillance, long-range imaging, automatic driver-assistance system (ADAS), and remote sensing. Haze particles degrade visible-band images more severely than the infrared ...

Model order reduction is a powerful tool widely used in complexity reduction of high-dimensional systems. It is used to optimize the storage memory size and to design the adaptive control strategies of complex large-scale linear and nonlinear systems. In ...

Owing to the limited response time of liquid crystal displays (LCDs), the motion-blurring effect is a critical problem to overcome for LCD applications. Among the available motion-blurring reduction methods, frame-rate upconversion (FRUC) presents an ...

In this brief, we present a new approach to optimize energy efficiency of object detection tasks using semantic decomposition to build a hierarchical classification framework. We observe that certain semantic information like color/texture is common ...

Haze removal is useful in computational photography and computer vision applications. Although many haze removal algorithms have been proposed, their computational efficiency requires improvement. A real-time haze removal method is presented in this ...

This paper presents an automatic speech–speaker recognition (ASSR) system implemented in a chip which includes a built-in extraction, recognition, and training (ERT) core. For VLSI design (here, ASSR system), the hardware cost and time complexity are ...

Integral histogram image can accelerate the computing process of feature algorithm in computer vision, but exhibits high computation complexity and inefficient memory access. In this paper, we propose a configurable parallel architecture to improve the ...

Increasing demand of high-speed portable modules for multimedia applications has motivated the development of hardware-based solutions for image processing applications. Most of the nonrigid image registration algorithms are found to be unsuitable for ...

Real-time detection of moving objects involves memorization of features in the template image and their comparison with those in the test image. At high sampling rates, such techniques face the problems of high algorithmic complexity and component delays. ...

In this paper, depth map estimation circuit design based on structured light is proposed, wherein a projection light source and an image sensor are utilized in combination to achieve a depth map estimation chip, an accurate, low complex circuit is ...

Video-based navigation (VBN) is increasingly used in space applications to enable autonomous entry, descent, and landing of aircrafts. VBN algorithms require real-time performances and high computational capabilities, especially to perform features ...

In the piecewise function evaluation with polynomial approximation, nonuniform segmentation can effectively reduce the size of lookup tables for some arithmetic functions compared to uniform segmentation approaches, at the cost of the extra segment ...

This paper proposes a data bandwidth-oriented motion estimation design for resource-limited mobile video applications using an integrated bandwidth rate distortion optimization framework. This framework predicts and allocates the appropriate data ...

Hough transform is widely used for detecting straight lines in an image, but it involves huge computations. For embedded application, field-programmable gate arrays are one of the most used hardware accelerators to achieve real-time implementation of ...

The proposed work presents a highly parallel architecture for motion estimation. Our system implements the well-known Lucas and Kanade algorithm with the multi-scale extension for the computation of large motion estimations in a dedicated device [field-...

Given the critical role of motion estimation (ME) in a video coder, testing such a module is of priority concern. While focusing on the testing of ME in a video coding system, this work presents an error detection and data recovery (EDDR) design, based ...