一种基于JPEG2000算法的图像传感器设计

提出一种基于JPEG2000算法的实时图像传感器设计方案,将采集到的图像数据通过编码器ADV212压缩为JPEG2000格式,再由微控器对目标进行探测和识别。该图像传感器具有高压缩率、低比特速率、体积小巧以及控制灵活等特点,并实际应用于安防、监控领域,能够快速、准确地获取目标图像信息。     

JPEG2000新规格制定完成

彩色表态图像的新一代编码方式“JPEG2000”的编码算法已经确定。在2000年3月的东京会议上,规定基本编码系统的最终协议草案已获发行,最终标准的推出预计在2000年12月。JPEG2000作为JPEG升级版,高压缩（低比特速率）是其目标,与JPEG相比,可同的情况下,JPEG2000信噪比将比JPEG提高30％左右,同时JPEG2000还拥有5种2值图像采用JBIG,低压缩率采用则将上术方式统一起来,成为对应各种图像的通用编码方式。JPEG2000编码算法采用离散式变DWT）和bitplain算术编码（Mqcoder）等构成,而JPEG则为DCT和Qmcoder。另外此次…     

基于OpenMP的JPEG2000图像并行编码算法

JPEG2000是新一代图像压缩标准,具有编码效率高、性能好等优点,由于采用小波和比特平面编码技术,其编码复杂度高,编码速度较慢。为了提高JPEG2000的编码速度,提出一种基于OpenMP的JPEG2000图像并行编码算法,通过对离散小波变换和EBCOT算法的并行处理,提高编码速度。结果表明,该算法在保持了JPEG2000良好特性的基础上,大大提高了编码速度,而且图像越大,对编码速度的改善越明显,使JPEG2000更加适用于大数据量的图像的传输。     

JPEG2000压缩图像的远程浏览

本文详细分析了JPEG2000的渐进传输特性，提出JPEG2000压缩图像的主动被动浏览方式，并提出一个JPEG2000远程交互武浏览模型。这种新的模型给传统的图像传输，图像浏览过程带来根本性的变化。     

JEPG2000和Motion-JEPG2000及其应用

JPEG是一种对静止图像进行压缩的国际化标准。目前在因特网中，绝大多数的图像的压缩格式就是JPEG，而JPEG2000是JPEG的升级标准，它提供了比JPEG更高效的压缩效率，并逐渐地被广泛采用。需要指出的是，JPEG2000是针对静止图像提出的压缩标准，ISO(国际标准化组织)为了满足对于视频图像(即运动图像)的压缩要求，在JPEG2000     

结构信息最优的静止图像压缩算法研究

JPEG2000是基于小波变换的新一代静止图像压缩标准,与以往的压缩标准相比,其具有很多优点。但是JPEG2000以MSE作为图像失真评价标准,而MSE不能很好的符合人眼主观评分,进而很大地影响了JPEG2000的压缩性能。该文在JPEG2000标准框架下,提出了以结构相似度作为失真评价标准的静止图像压缩算法(SJPEG2000)。该算法以系数对图像结构信息贡献量的大小作为准则来截取码流,使压缩后的图像尽量保存原图像的结构信息。实验结果表明,该算法压缩得到的图像很好地保留了图像结构信息,压缩图像的主观质量得到提高,结构相似度值较原JPEG2000也有一定提高。     

基于人眼感知预测的JPEG2000码率控制算法

基于小波域的JPEG2000压缩编码算法,对重建图像造成的失真是结构信息的丢失,从而使人眼的图像感知质量下降。为了解决这个问题,该文提出一种基于人眼感知预测的JPEG2000码率控制算法(SIRA),首先提出了一种度量图像感知质量下降的参数模型,然后建立了一个能在编码之前预测JPEG2000压缩图像感知质量下降的单端预测模型,基于预测模型实现了JPEG2000标准的码率分配。仿真实验结果验证了模型的正确性及算法的有效性。     

新一代静止图像编码系统-JPEG2000

JPEG2000是最新制定的静止图像编码国际标准，JPEG2000不仅提供的率失真性能和主观图像质量优于原JPEG标准，而且在支持渐进图像传输、感兴趣区图像编码和抗误码性能上也优于传统的JPEG标准和其它编码方法。本文对JPEG2000系统的结构、特性以及其编码算法进行了分析，并给出JPEG2000与原JPEG标准的性能比较。     

分析视频图像的压缩传输技术

介绍视频图像信号的压缩传输技术,简单论述几种压缩编码方式,讨论基于MPEG－2编码的视频图像传输计划,阐述JPEG2000编码系统整体流程,并研究JPEG2000中对视频图像进行压缩的相关传输技术。     

基于LOCP特征的JPEG2000二次压缩检测

JPEG2000二次压缩检测,即对图片进行二次JPEG2000压缩的检测,对于分析图像篡改、隐写等有重要价值。文中分析了现有的JPEG2000二次压缩检测算法的优势,结合LOCP特征,提出了一种改进的JPEG2000二次压缩检测算法。该算法对对象图片的高频成分提取LOCP特征,并用支持向量机SVM分类器进行训练和检测。在哥伦比亚大学篡改检测图像数据集上的实验显示,提出的JPEG2000二次压缩检测算法较原有算法有较大提升,并获得了TODO的检测率。     

Secure MQ coder: An efficient way to protect JPEG 2000 images in wireless multimedia sensor networks

This paper presents a secure MQ coder (SMQ) for efficient selective encryption of JPEG 2000 images. Being different from existing schemes where encryption overhead is proportional to the size of plain image, SMQ only selectively encrypts tiny and constant volume of data in JPEG 2000 coding regardless of image size. It is extremely fast and suitable for protecting JPEG 2000 images in wireless multimedia sensor networks (WMSNs). Theoretical analysis and experimental results show that SMQ can achieve a balance between security and efficiency, while keeping comparable compression performance and energy consumption with standard JPEG 2000 coding.     

Image coding using lapped biorthogonal transform

The wireless sensor network utilizes image compression algorithms like JPEG, JPEG2000, and SPIHT for image transmission with high coding efficiency. During compression, discrete cosine transform (DCT)–based JPEG has blocking artifacts at low bit-rates. But this effect is reduced by discrete wavelet transform (DWT)–based JPEG2000 and SPIHT algorithm but it possess high computational complexity. This paper proposes an efficient lapped biorthogonal transform (LBT)–based low-complexity zerotree codec (LZC), an entropy coder for image coding algorithm to achieve high compression. The LBT-LZC algorithm yields high compression, better visual quality with low computational complexity. The performance of the proposed method is compared with other popular coding schemes based on LBT, DCT and wavelet transforms. The simulation results reveal that the proposed algorithm reduces the blocking artifacts and achieves high compression. Besides, it is analyzed for noise resilience.     

Efficient Hardware-Based Image Compression Schemes for Wireless Sensor Networks: A Survey

Multidimensional sensors, such as digital camera sensors in the visual sensor networks VSNs generate a huge amount of information compared with the scalar sensors in the wireless sensor networks WSNs. Processing and transmitting such data from low power sensor nodes is a challenging issue through their limited computational and restricted bandwidth requirements in a hardware constrained environment. Source coding can be used to reduce the size of vision data collected by the sensor nodes before sending it to its destination. With image compression, a more efficient method of processing and transmission can be obtained by removing the redundant information from the captured image raw data. In this paper, a survey of the main types of the conventional state of the art image compression standards such as JPEG and JPEG2000 is provided. A literature review of their advantages and shortcomings of the application of these algorithms in the VSN hardware environment is specified. Moreover, the main factors influencing the design of compression algorithms in the context of VSN are presented. The selected compression algorithm may have some hardware-oriented properties such as; simplicity in coding, low memory need, low computational load, and high-compression rate. In this survey paper, an energy efficient hardware based image compression is highly requested to counter the severe hardware constraints in the WSNs.     

Improved Resolution Scalability for Bilevel Image Data in JPEG2000

In this paper, we address issues concerning bilevel image compression using JPEG2000. While JPEG2000 is designed to compress both bilevel and continuous tone image data using a single unified framework, there exist significant limitations with respect to its use in the lossless compression of bilevel imagery. In particular, substantial degradation in image quality at low resolutions severely limits the resolution scalable features of the JPEG2000 code-stream. We examine these effects and present two efficient methods to improve resolution scalability for bilevel imagery in JPEG2000. By analyzing the sequence of rounding operations performed in the JPEG2000 lossless compression pathway, we introduce a simple pixel assignment scheme that improves image quality for commonly occurring types of bilevel imagery. Additionally, we develop a more general strategy based on the JPIP protocol, which enables efficient interactive access of compressed bilevel imagery. It may be noted that both proposed methods are fully compliant with Part 1 of the JPEG2000 standard.      

A CMOS Image Sensor for Multi-Level Focal Plane Image Decomposition

An alternative image decomposition method that exploits prediction via nearby pixels has been integrated on the CMOS image sensor focal plane. The proposed focal plane decomposition is compared to the 2-D discrete wavelet transform (DWT) decomposition commonly used in state of the art compression schemes such as SPIHT and JPEG2000. The method achieves comparable compression performance with much lower computational complexity and allows image compression to be implemented directly on the sensor focal plane in a completely pixel parallel structure. A CMOS prototype chip has been fabricated and tested. The test results validate the pixel design and demonstrate that lossy prediction based focal plane image compression can be realized inside the sensor pixel array to achieve a high frame rate with much lower data readout volume. The features of the proposed decomposition scheme also benefit real-time, low rate and low power applications.      

用于JPEG2000图像认证的半脆弱性数字水印算法

本文给出一种适用于JPEG2000图像认证的半脆弱性数字水印算法,该算法与JPEG2000编、解码器相结合,它根据JPEG2000图像压缩过程中的不变参量进行水印生成和嵌入调制,利用小波变换特性对图像篡改区域进行定位.实验表明,采用该算法实现的水印不仅具有良好的视觉透明性,而且还有较佳的篡改区域指示功能.     

适于空间TDICCD相机图像压缩的JPEG2000比特平面编码器

针对目前JPEG2000中最优截断嵌入式块编码器硬件实现效率低且占用大量资源问题,本文提出一种适于空间TDICCD相机图像压缩的JPEG2000比特平面编码器（BPC）。本文提出的BPC结构思想是基于数据路径详细分析来获得上下文窗口的。另外,使用自主研发的地面检测设备对采用本文提出的BPC结构设计的JPEG2000图像压缩系统进行实验。实验结果表明,使用本文提出的BPC结构CCD图像压缩系统可以稳定可靠地工作,BPC具有较高的工作性能,工作频率达到75MHz。压缩系统与传统方法相比较,平均PSNR提高了0.91dB。非常适于空间TDICCD相机的应用。