%0 Journal Article %1 K_bansod_Prof_Mrs_P_J_SURYAWANSHI_2015 %A K.bansod, Miss.Snehal %A Prof.Mrs.P.J.SURYAWANSHI, %D 2015 %I Auricle Technologies, Pvt., Ltd. %J International Journal on Recent and Innovation Trends in Computing and Communication %K Aerial Transform images wavelet %N 2 %P 839--841 %R 10.17762/ijritcc2321-8169.150288 %T Use of Wavelet Transform in Digital Aerial Images %U http://dx.doi.org/10.17762/ijritcc2321-8169.150288 %V 3 %X The Wavelet transform primarily performs a filter function on images. There are two types of wavelet transform first continuous wavelet Transform and second is discrete wavelet Transform. We will used Discrete wavelet Transform. The paper represents a new computational scheme Based on multiresolution decomposition for extracting the features of interest from the Digital Aerial Images by suppressing noise. In this paper, first of all preprocessing on the aerial images is done. These are converting to grayscale if necessary, applying wavelets transform to improve the quality of image

@article{K_bansod_Prof_Mrs_P_J_SURYAWANSHI_2015, abstract = {The Wavelet transform primarily performs a filter function on images. There are two types of wavelet transform first continuous wavelet Transform and second is discrete wavelet Transform. We will used Discrete wavelet Transform. The paper represents a new computational scheme Based on multiresolution decomposition for extracting the features of interest from the Digital Aerial Images by suppressing noise. In this paper, first of all preprocessing on the aerial images is done. These are converting to grayscale if necessary, applying wavelets transform to improve the quality of image}, added-at = {2015-08-04T08:58:49.000+0200}, author = {K.bansod, Miss.Snehal and Prof.Mrs.P.J.SURYAWANSHI}, biburl = {https://www.bibsonomy.org/bibtex/2f09d69e878a365455dc3fd04a7c2065f/ijritcc}, doi = {10.17762/ijritcc2321-8169.150288}, interhash = {99e53f144f5a0bfecc1a621e1a9525bc}, intrahash = {f09d69e878a365455dc3fd04a7c2065f}, journal = {International Journal on Recent and Innovation Trends in Computing and Communication}, keywords = {Aerial Transform images wavelet}, month = {february}, number = 2, pages = {839--841}, publisher = {Auricle Technologies, Pvt., Ltd.}, timestamp = {2015-08-04T08:58:49.000+0200}, title = {Use of Wavelet Transform in Digital Aerial Images}, url = {http://dx.doi.org/10.17762/ijritcc2321-8169.150288}, volume = 3, year = 2015 }