Fingerprints , iris and face ) , the gait has unexampled advantages such as difficult to hide and disguise , simple collection , identification from far away even in low - resolution and so on 与传统的指纹、虹膜、脸像等生物生理特征相比,步态具有难于隐藏和伪装、便于采集和远距离低分辨率识别等优点。
Multiplierless approximation of transforms with adder constraint . ieee signal processing letters , 2002 , 9 : 344 - 347 . 3 chen y j , oraintara s , nguyen t q . video compression using integer dct Avs1 - p2主要面向高分辨率高码率的应用场景，如数字电视广播等，而avs1 - p7则主要面向低分辨率低码率的应用场景，如流媒体， iptv等。
Although the image ' s modulus maximums have been greatly compressed , but they still contain the redundant data , which is the information used in lower - scale modulus images has been used in higher - scale modulus images 但是经过小波模极大值变换后得到的模图像信息虽然得到了压缩，但仍存在冗余，即低分辨率上使用过的信息在高分辨率下重复使用。
The most important problem in the multi - resolution method is how to reduce the effect of outliers while the estimation of the motion parameters are translating from the coarse resolution to the fine resolution 多分辨率分割过程中的一大问题是：当把低分辨率图像上的运动参数估计结果传递到高分辨率的图像上去时，要尽量降低奇异点对分析结果的影响。
A major problem that is associated with most texture description methods is their sensitivity to scale , that is , the texture characteristics may disappear at low resolutions or may contain a significant amount of noise at high resolutions [ 3 . 70 , 3 . 71 , 3 . 72 ] 主要问题与大多数纹理描述法的敏感度有关，即，在低分辨率时纹理特征可能消失，在高分辨率时又可能包含大量噪声。
Based on predecessor work , we hope to make some improvements to their research results . in the aspect of object detection and segmentation , algorithms are classified to four parts by discontinuity and comparability of the pixels 面对这种研究现状，本文试图通过对现有目标分割与识别算法的研究，增强对算法的理解，并在前人工作的基础上提出针对低分辨率遥感图象中机场的分割与识别算法。
The major difficulty in monitoring lake areas based on moderate or low resolution rs data is how to improve the accuracy and applicability of decomposition of mixed pixels , considering both the complexity of objects and limitations of time and space 摘要如何通过充分考虑地物复杂性和地域时间限制，提高混合像元分解算法的精度和普适性，是目前基于中低分辨率遥感数据进行湖泊面积监测所面临的主要问题。
Recent years have seen growing interest in studying of super - resolution image reconstruction technology , which refers to image processing algorithms to reconstruct high quality and high - resolution ( hr ) images from a sequence of degraded low - resolution ( lr ) images 近年来,越来越多的研究者对超分辨率图像重建技术充满兴趣,所谓图像超分辨处理就是从一序列降质的低分辨率图像中获取高分辨率高质量的图像。
The paper currency sorter developed by designer plays an important role in bank area . due to the reason of low resolution of paper currency image and high speed of paper currency sorter , so how to recognize paper currency under these conditions is a key problem 在进行纸币图像识别时,由于采集到的图像是在低分辨率下扫描得到的,如何在这种低分辨率条件下实现对纸币进行识别,并且识别速度要满足清分机的要求,是纸币识别的核心问题。
Super - resolution reconstruction basing on the image sequence is a technique for estimating a high - resolution image ( or sequence ) from an image sequence having slight displacement and combating additive noise and blurring due to the finite detector size and optics 基于序列图像的超分辨率图像重构就是由一序列互有位移的低分辨率图像来估计一幅(或一序列)较高分辨率的图像，同时还能够消除加性噪声以及由有限检测器尺寸和光学元件产生的模糊。
