scholarly journals High Performance Implementation of Image Scaling Processor in FPGA Using Bilinear Interpolation

2019 ◽  
pp. 14-17
Author(s):  
S.Hari prasath ◽  
M.S anthi
Keyword(s):  
High Performance ◽  
Bilinear Interpolation ◽  
Image Scaling

Bilinear Interpolation Image Scaling Processor for VLSI Architecure

2014 ◽  
Vol 3 (3) ◽  
pp. 104 ◽  
Author(s):  
Pawar Ashwini Dilip ◽  
K Rameshbabu ◽  
Kanase Prajakta Ashok ◽  
Shital Arjun Shivdas
Keyword(s):  
Vlsi Architecture ◽  
Spatial Filter ◽  
Cmos Process ◽  
Interpolation Algorithm ◽  
Bilinear Interpolation ◽  
Hardware Cost ◽  
Image Scaling ◽  
Memory Buffer ◽  
Convolution Kernels ◽  
Calculation Unit

We introduce image scaling processor using VLSI technique. It consist of Bilinear interpolation, clamp filter and  a sharpening spatial filter. Bilinear interpolation algorithm is popular due to its computational efficiency and  image quality. But resultant image consist of blurring edges and aliasing artifacts after scaling. To reduce the blurring and aliasing artifacts sharpening spatial filter and clamp filters are used as pre-filter. These filters are realized by using T-model and inversed T-model convolution kernels. To reduce the memory buffer and computing resources for proposed image processor design two T-model or inversed T-model filters are combined into combined filter which requires only one line buffer memory. Also, to reduce hardware cost Reconfigurable calculation unit (RCU)is invented. The VLSI architecture in this work can achieve 280 MHz with 6.08-K gate counts, and its core area is 30 378 <em>μ</em>m2 synthesized by a 0.13-<em>μ</em>m CMOS process.

scholarly journals VLSI Implementation of a High-Performance Nonlinear Image Scaling Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Osamah Ibrahim Khalaf ◽  
Carlos Andrés Tavera Romero ◽  
A. Azhagu Jaisudhan Pazhani ◽  
G. Vinuja
Keyword(s):  
High Performance ◽  
Low Cost ◽  
Vlsi Architecture ◽  
Linear Interpolation ◽  
Noisy Environments ◽  
Image Scaling ◽  
Scaling Methods ◽  
Processing Resources ◽  
Weighted Median ◽  
Memory Efficient

This study implements the VLSI architecture for nonlinear-based picture scaling that is minimal in complexity and memory efficient. Image scaling is used to increase or decrease the size of an image in order to map the resolution of different devices, particularly cameras and printers. Larger memory and greater power are also necessary to produce high-resolution photographs. As a result, the goal of this project is to create a memory-efficient low-power image scaling methodology based on the effective weighted median interpolation methodology. Prefiltering is employed in linear interpolation scaling methods to improve the visual quality of the scaled image in noisy environments. By decreasing the blurring effect, the prefilter performs smoothing and sharpening processes to produce high-quality scaled images. Despite the fact that prefiltering requires more processing resources, the suggested solution scales via effective weighted median interpolation, which reduces noise intrinsically. As a result, a low-cost VLSI architecture can be created. The results of simulations reveal that the effective weighted median interpolation outperforms other existing approaches.

Scaling of Engineering Image Based on Interpolation Algorithm

2013 ◽  
Vol 634-638 ◽  
pp. 3989-3993
Author(s):  
Hui Wang ◽  
Guo Jia Li ◽  
Jun Hui Pan
Keyword(s):  
Image Quality ◽  
Experimental Results ◽  
Interpolation Algorithm ◽  
Bilinear Interpolation ◽  
Large Capacity ◽  
Image Scaling

Before the large capacity and engineering image is analyzed carefully, which need to be effective scaled. The subsequent analysis and calculation to engineering image is subjected by image quality and scaling time. According to scaling research of large capacity engineering image, the effect for image scaling by various interpolation algorithm is individual analyzed, and more appropriate algorithm is selected. The experimental results show that the engineering image of best effect is got, when it is high-expansion scaled by double cubic interpolation, and the bilinear interpolation is more suitable for low multiple scaling image.

Bilinear interpolation method for quantum images based on quantum Fourier transform

2018 ◽  
Vol 16 (04) ◽  
pp. 1850031 ◽  
Author(s):  
Panchi Li ◽  
Xiande Liu
Keyword(s):  
Image Processing ◽  
Fourier Transform ◽  
Nearest Neighbor ◽  
Interpolation Method ◽  
New Method ◽  
Basic Operation ◽  
Quantum Fourier Transform ◽  
Bilinear Interpolation ◽  
Image Scaling ◽  
Bicubic Interpolation

Image scaling is the basic operation that is widely used in classic image processing, including nearest-neighbor interpolation, bilinear interpolation, and bicubic interpolation. In quantum image processing (QIP), the research on image scaling is focused on nearest-neighbor interpolation, while the related research of bilinear interpolation is very rare, and that of bicubic interpolation has not been reported yet. In this study, a new method based on quantum Fourier transform (QFT) is designed for bilinear interpolation of images. Firstly, some basic functional modules are constructed, in which the new method based on QFT is adopted for the design of two core modules (i.e. addition and multiplication), and then these modules are used to design quantum circuits for the bilinear interpolation of images, including scaling-up and down. Finally, the complexity analysis of the scaling circuits based on the elementary gates is deduced. Simulation results show that the scaling image using bilinear interpolation is clearer than that using the nearest-neighbor interpolation.

A High Performance Energy Analyzer for Use in Electron Scanning Microscopy

1969 ◽  
Vol 27 ◽  
pp. 14-15
Author(s):  
A. V. Crewe ◽  
M. Isaacson ◽  
D. Johnson
Keyword(s):  
High Performance ◽  
Vertical Plane ◽  
Median Plane ◽  
Electron Gun ◽  
Uniform Field ◽  
Loss Mechanism ◽  
Electron Scanning Microscopy ◽  
Sector Type ◽  
Double Focusing ◽  
Electron Energy Loss

A double focusing magnetic spectrometer has been constructed for use with a field emission electron gun scanning microscope in order to study the electron energy loss mechanism in thin specimens. It is of the uniform field sector type with curved pole pieces. The shape of the pole pieces is determined by requiring that all particles be focused to a point at the image slit (point 1). The resultant shape gives perfect focusing in the median plane (Fig. 1) and first order focusing in the vertical plane (Fig. 2).

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