179 / 2015-11-30 16:22:06
A Fast and Improved Image Compression Technique Using Huffman Coding
Image Compression, Huffman Coding, PSNR, MSE, CR, BPP.
终稿
Rachit Patel / ABES Institute of Technology, Ghaziabad
Virendra Kumar / ABES Institute of Technology, Ghaziabad
Vaibhav Tyagi / ABES Institute of Technology, Ghaziabad
Vishal Asthana / ABES Institute of Technology, Ghaziabad
Image Compression using Huffman coding technique is simpler & easiest compression technique. Compression of image is an important task as its implementation is easy and obtains less memory. The purpose of this paper is to analyse Huffman coding technique which is basically used to remove the redundant bits in data by analysing different image quality parameters such as Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR), Compression Ratio (CR), Bits Per Pixel (BPP) for the various input image of different size and the new method of splitting an input image into equal rows & columns and at final stage sum of all individual compressed images which not only provide better result but also the information content will be kept secure. An image compression technique has various advantages in the field of image analysis and also for the security purpose for the image.
重要日期
  • 会议日期

    03月23日

    2016

    03月25日

    2016

  • 11月30日 2015

    提前注册日期

  • 12月30日 2015

    初稿截稿日期

  • 01月30日 2016

    初稿录用通知日期

  • 02月05日 2016

    终稿截稿日期

  • 03月25日 2016

    注册截止日期

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