Image interpolation techniques pdf

This paper gives overview about different interpolation techniques like nearest neighbor, bilinear, bicubic. The importance of image processing is increasing in the digitally connected world due to its numerous applications in various fields of medical science, astronomy, weather prediction, and video surveillance systems etc. Proceedings of the 20th annual conference on computer graphics and interactive techniques view interpolation for image synthesis pages 279288. Non adaptive techniques interpolation is used to do enhancement of any image. Pdf image interpolation techniques in digital image processing. It happens anytime you resize or remap distort your image from one pixel grid to another. Pdf in current digital era the image interpolation techniques based on multi resolution technique are being discovered and developed. In particular, digital image processing and its techniques is what this article is about. Pdf image interpolation techniques shreyas fadnavis. Pdf image interpolation using kriging technique for. Effect of interpolation 3 interpolation techniques are mainly divided in two categories.

Image interpolation techniques in digital image processing ijera. An image fx,y tells us the intensity values at the integral lattice locations, i. This is the fastest interpolation method but the resulting image may contain jagged edges. Classical linear interpolation techniques such as nearest neighbor, bilinear 15, 16 or bicubic interpolation 4, 17 are simple and hence popular, but they all produce images with various artifacts, especially around edges in the image. There are numbers of techniques for image enhancement. Recently, kriging technique has been widely implemented in simulation area and geostatistics for prediction. This can result in spatial distortion of features in the zoomed image, and nearestneighbor interpolation is therefore unreliable for measurement purposes. In current digital era the image interpolation techniques based on multiresolution technique are being discovered and developed. These techniques are gaining importance due to their application. Computer algorithms play a crucial role in digital image processing. In this paper interpolation techniques are presented. Image resizing is necessary when you need to increase or decrease the total number of pixels, whereas remapping can occur. Nonadaptive techniques nonadaptive interpolation techniques are based on direct manipulation on pixels instead of considering any feature or content of an image.

This paper presents an overview of different interpolation techniques, nearest neighbor, bilinear, bicubic, bspline, lanczos, discrete wavelet transform dwt. For integral zoom factors that are even such as 2x and 4x, nearestneighbor interpolation produces the same results as the discrete. Finally, we restrict ourselves to linear methods, such that the sum of two interpolated functions is equal to the interpolation of the sum of the two functions. Pdf interpolation techniques in image resampling researchgate. View interpolation for image synthesis proceedings of. Nearestneighbor interpolation assigns the value of the nearest pixel to the pixel in the output visualization. Image interpolation and resampling biomedical imaging group. Image interpolation occurs in all digital photos at some stage whether this be in bayer demosaicing or in photo enlargement. Image interpolation has been used spaciously by customary interpolation techniques.