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Implementation of Image Compression and Decompression using JPEG Technique


Author(s):

Akash Kumar Gupta , Birla Institute of Technology, Mesra, Off-campus - Deoghar; Girija Shankar Sahu, Birla Institute of Technology, Mesra, Off-campus - Deoghar; Ritesh Kumar, Birla Institute of Technology, Mesra, Off-campus - Deoghar; Gaurav Navin Kindo, Birla Institute of Technology, Mesra, Off-campus - Deoghar

Keywords:

DCT, IDCT, Zigzag Reordering, Quantization table, Huffman Coding

Abstract:

Even though the storage media has increase manifold in terms of size, yet we have to compress photos and videos to store them. The original data obtained by a camera sensor is more than required and thus not efficient. The idea of data compression is reducing the data correlation and replacing them with simpler data form. Therefore, compression is required to remove the extra unrequired information and make it efficient and low sized. Multiple steps go into the process of image compression. Firstly, we read the file into Matlab and divide it into multiple 8x8 matrices. Then, Discrete Cosine Transform (DCT) function is performed on each of the 8x8 matrices. We use a quantization table to perform quantization on the 8x8 matrice. The values of a 8x8 matrice is divided by values of quantization table and then rounded off to the lowest integer. The values of the matrice are then encoded using Difference coding and Huffman coding. Difference coding is used for encoding the DC coefficient i.e. index (0, 0). Huffman coding is further used for rest of the coefficients, which are known as AC coefficients. Huffman coding consists of Zigzag Coding which transforms the 8x8 matrice into a linear matrice. The resulting matrice shows the compressed image. The original image can then be recovered by performing decompression. The decompression steps include Decoding along with De-quantization, then Inverse Discrete Cosine Transform is performed. The resultant matrice thus provides us the recovered original image.


Other Details:

Manuscript Id :IJSTEV3I10234
Published in :Volume : 3, Issue : 10
Publication Date: 01/05/2017
Page(s): 488-491
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