A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Wavelets for computer graphics: theory and applications
Wavelets for computer graphics: theory and applications
Approximate computation of multidimensional aggregates of sparse data using wavelets
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Wavelet synopses with error guarantees
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Approximate query processing using wavelets
The VLDB Journal — The International Journal on Very Large Data Bases
WALRUS: A Similarity Retrieval Algorithm for Image Databases
IEEE Transactions on Knowledge and Data Engineering
Probabilistic wavelet synopses
ACM Transactions on Database Systems (TODS)
Wavelet synopses for general error metrics
ACM Transactions on Database Systems (TODS) - Special Issue: SIGMOD/PODS 2004
Collaborative image coding and transmission over wireless sensor networks
EURASIP Journal on Applied Signal Processing
Fast Algorithms for the 2-D Discrete Cosine Transform
IEEE Transactions on Computers
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Using the correlation characteristic between the reference image may reduce transmission energy in wireless sensor networks. However, as crop images are usually captured periodically and the images are easily influenced by the peripheral environment during capture, transmitting the subtraction information of crop images may consume large amounts of energy. Moreover, sensor nodes should provide sufficiently accurate images for evaluating crop status according to the crop conditions. A compression scheme should be designed to compress the subtraction information and to ensure reconstruction image quality. In this paper, based on the properties of non-standard Haar transformation, we apply non-standard Haar transformation to decompose the subtraction crop images, and we use the error threshold method to compress crop images and to ensure image quality. Experimental results show that our scheme has a higher compression ratio and higher computing efficiency than the Haar wavelets method and the JPEG method.