K S Neelu Kumari, S Vijayabaskar
Department of Electronics and communication Engineering, P.A. College of Engineering and Technology, Pollachi, India. Email:
Asian Pac J Cancer Prev. 2018 Sep 26;19(9):2631-2635. doi: 10.22034/APJCP.2018.19.9.2631.
Objective: This method is to reduce the risk of imprecise diagnosis associated with poor-quality CT images, this paper presents a new technique designed to enhance the quality of medical CT images. The main objective is to improve the appearance of CT images in order to obtain better visual interpretation and analysis, which is expected to ease the diagnosis process. The proposed technique involves applying a deblocking filter is to enhance the visual nature of a picture by diminishing the blocking artifacts. The appearance of a picture isn’t clear while an antique happens. The proposed deblocking filter calculation gives a strategy to expel the ancient rarities by smoothing the sharp edges of a picture. Methods: With a specific goal to lessen the quantity of information access, multifaceted nature and consequently to upgrade the proficiency, a six-staged pipelined structure for picture pixels are proposed. Besides, to enhance the subjective and target nature of a picture the deblocking filter performs identification of the antique at the coded square limits and weakens them by applying a chose filter. Result: The proposed algorithm is implemented in HDL using Xilinx FPGA. The input image is converted into decimal pixel values using Matlab and this value is used as the input in HDL. The proposed algorithm is compared with other blocking algorithms. Conclusion: To design an effective deblocking filter with low cost, low complexity and high intensity, pipeline based systems are used. In addition to that the number of memory accesses and timing efficiency also be reduced using this method. The deblocking filtering operations can also easily perform in parallel on multiple processors by using six-stage of pipelined, two-line deblocking filter. The parameter mean, variance, standard deviation, resolution, contrast and PSNR values are compared with the previous method. Hence it shows the implementation of deblocking filter using pipelining is more efficient than others.
此方法旨在降低因低质量CT图像导致的不精确诊断风险，本文提出一种旨在提高医学CT图像质量的新技术。主要目标是改善CT图像的外观，以便获得更好的视觉解读和分析，有望简化诊断过程。所提出的技术涉及应用去块滤波器，通过减少块状伪影来增强图像的视觉效果。当出现伪影时，图像的外观不清晰。所提出的去块滤波器算法提供了一种通过平滑图像的锐利边缘来去除伪影的策略。方法：为了减少信息访问量、复杂性并因此提高效率，提出了一种针对图像像素的六级流水线结构。此外，为了增强图像的主观和客观性质，去块滤波器在编码块边界处识别伪影，并通过应用选定的滤波器来减弱它们。结果：所提出的算法在Xilinx FPGA上使用HDL实现。输入图像使用Matlab转换为十进制像素值，该值用作HDL中的输入。将所提出的算法与其他去块算法进行比较。结论：为了设计一种低成本、低复杂度和高强度的有效去块滤波器，使用了基于流水线的系统。除此之外，使用此方法还可以减少内存访问次数和定时效率。通过使用六级流水线、两行去块滤波器，去块滤波操作也可以在多个处理器上轻松并行执行。将参数均值、方差、标准差、分辨率、对比度和PSNR值与先前方法进行比较。因此，结果表明使用流水线实现去块滤波器比其他方法更有效。
