FPGA Based Hyperspectral Image Compression Using DWT and DCT

Kala, S.; Vasuki, S.
May 2014
Australian Journal of Basic & Applied Sciences;May2014, Vol. 8 Issue 7, p81
Academic Journal
Background: Hyperspectral imaging (HSI) is typically defined as a spectral sensing technique which takes hundreds of contiguous narrow waveband images in the visible and infrared regions of the electro-magnetic spectrum. HSI compression is an important issue in remote sensing application. In this paper, an efficient technique for compressing the hyperspectral image is introduced. The proposed HSI compression is based on Discrete Wavelet Transform (DWT) and Discrete Cosine Transform (DCT). DWT has multi-resolution transformation and DCT has high energy compaction property and requires less computational resources. The idea behind the proposed approach is to apply the DCT to the DWT coefficients of the Hyperspectral images to utilize the advantages of both spatial and spectral redundancies. JPEG is used to perform quantization and encoding of core tensors. The proposed approach has been implemented on Xilinx 14.2 FPGA and tested on real hyperspectral image. The experiments are conducted with HSI compression based on DWT, DCT and JPEG. Compression ratio and PSNR are compared with the existing M-CALIC and the proposed DWT-DCT-JPEG. The result shows that the DWT-DCT-JPEG performs good in terms of compression ratio, PSNR, MSE and memory consumption. Objective: In this paper, an efficient technique for compressing the hyperspectral image is introduced. Results: The HSI-1 compression steps of Paris image use the HSI compression method based on DWT-DCT-JPEG and are shown in Fig.3. The input HSI-1 is loaded and it is split into 7 spectral bands. There are 5 HSI images which are compressed using the proposed technique. The HSI images include Landsat images (.lan) of Paris, Little Colorado River, Mississippi River, Montana state and Rio city. Fig.3. shows the compression steps performed on the landsat image of Paris. Conclusion: The proposed compression method DWT-DCT-JPEG reduces the size of the 3D tensors, which are calculated from the 4 sub-images of the spectral bands of HSI. The simulation experiments are tested on 5 HSI images such as Paris city, Little Colorado River, Mississippi River, Montana State and Rio City with the HSI compression based on DWT, DCT and JPEG. The proposed method is compared with some of the existing compression algorithms like JPEG-LS, M-CALIC, JPEG2000, MJPEG2000, OB-SPECK and DWT-TD (ALS) -RLE. Our proposed work results good in terms of compression ratio, PSNR, MSE and memory consumption.Our future plan is to perform hyperspectral image compression using various encoding techniques with DWT features.


Related Articles

  • Hyperspectral Image Compression Based on DWT and TD with ALS Method. Rajan, Kala; Murugesan, Vasuki // International Arab Journal of Information Technology (IAJIT);Jul2016, Vol. 13 Issue 4, p435 

    Compression of Hyper Spectral Image (HSI) is an important issue in remote sensing applications due to its huge data size. An efficient technique for HSI compression is proposed based on Discrete Wavelet Transform (DWT) and Tucker Decomposition (TD) with Adaptive Least Squares (ALS) method. This...

  • An Optimal HSI Image Compression using DWT and CP. Narmadha, D.; Gayathri, K.; Thilagavathi, K.; Basha, N. Sardar // International Journal of Electrical & Computer Engineering (2088;Jun2014, Vol. 4 Issue 3, p411 

    The compression of hyperspectral images (HSIs) has recently become a very attractive issue for remote sensing applications because of their volumetric data. An efficient method for hyperspectral image compression is presented. The proposed algorithm, based on Discrete Wavelet Transform and...

  • 2D Satellite Image Registration Using Transform Based and Correlation Based Methods. Kekre, H. B.; Sarode, Tanuja K.; Karani, Ruhina B. // International Journal of Advanced Computer Science & Application;May2012, Vol. 3 Issue 5, p66 

    Image registration is the process of geometrically aligning one image to another image of the same scene taken from different viewpoints or by different sensors. It is a fundamental image processing technique and is very useful in integrating information from different sensors, finding changes...

  • A Combined DWT and DCT Watermarking Scheme Optimized Using Genetic Algorithm. Cheng Mingzhi; Li Yan; Zhou Yajian; Lei Min // Journal of Multimedia;Jun2013, Vol. 8 Issue 3, p299 

    To protect the copyright of digital image, this paper proposed a combined Discrete Wavelet Transform (DWT) and Discrete Cosine Transform (DCT) based watermarking scheme. To embed the watermark, the cover image was decomposed by a 2-level DWT, and the HL2 subband coefficient was divided into 4x4...

  • Combining Hadamard matrix, discrete wavelet transform and DCT features based on PCA and KNN for image retrieval. Farsi, Hassan; Mohamadzadeh, Sajad // Majlesi Journal of Electrical Engineering;Mar2013, Vol. 7 Issue 1, p9 

    Image retrieval is one of the most applicable image processing techniques, which have been used extensively. Feature extraction is one of the most important procedures used for interpretation and indexing images in content-based image retrieval (CBIR) systems. Reducing the dimension of feature...

  • Similar Image Retrieval using DWT and LIM based Image Matching Technique. Devasena, C. Lakshmi; Hemaltha, M. // International Journal of Advanced Research in Computer Science;Mar/Apr2012, Vol. 3 Issue 2, p298 

    The field of image retrieval and mining has become an energetic research area due to hasty enhancement in the size of digital image databases. As, a great part of information is in visual form; it is must and certainly pleasing to track for images by content. Image mining has diverse...

  • Content Based Watermarking Techniques using HSV and Fractal Dimension in Transform Domain. Radharani, S.; Valarmathi, M. L. // Australian Journal of Basic & Applied Sciences;Mar2014, Vol. 8 Issue 3, p112 

    The central idea of the present paper is based on selecting the watermark information from the host image itself. For which, in this work, we select the fractal dimension as the feature of the host image. The proposed method uses three techniques namely DCT, DWT, combined DCT & DWT to embed the...

  • A Robust Digital Watermarking Technique using DWT-DCT and Statics blocks. IDRISSI, Nadia; ROUKH, Ahmed; MASMOUDI, Lhoussaine; RADOUANE, Mohamed; MESSOUSSI, Rochdi // International Journal of Computer Science Issues (IJCSI);Mar2013, Vol. 10 Issue 2, p45 

    This paper introduces a method based on Discrete Wavelet Transform (DWT), Discrete Cosine Transform (DCT), and the characteristics of the human visual system (HVS). In this method the watermark data is embedded into imperceptibles blocks[1], we used the entropy value to select the suitable...

  • Medical Image Retrieval using Transforms. AYYACHAMY, Swarnambiga; VASUKI, Mannivannan // Applied Medical Informatics;Jun2013, Vol. 32 Issue 2, p54 

    The purpose of this study is to access the stability of transformation methods for medical image analysis. The reason for image retrieval is due to the increase in acquisition of images. Imaging has occupied a huge role in the management of patients, whether hospitalized or not. Depending upon...


Read the Article


Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics