Alpha Trimmed Mean based JPEG Compression for an Objective Image Quality Enhancement of Noisy and Noise less Images

α
Vanitha Kakollu
Vanitha Kakollu
σ
G. Narasimha
G. Narasimha
ρ
P. Chandrasekhar Reddy
P. Chandrasekhar Reddy
α GITAM University GITAM University

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Alpha Trimmed Mean based JPEG Compression for an Objective Image Quality Enhancement of Noisy and Noise less Images

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Abstract

We can see that over the past few years, the number of people using the internet and the amount of information transmitted over the internet has grown to such a wide range. One of the best ways to reduce the image size is via image compression. In the compression of the still image, JPEG is better when it comes to bandwidth conservation. In this paper, we discussed an innovative JPEG compression algorithm with alpha-trimmed means based clustering. The proposed algorithm is expected to produce better results regarding MSE, PSNR and the number of bits transmitted when compared to the standard algorithms. The proposed JPEG algorithm enhances the speed and reduces the number of encoded bits, thereby reducing the amount of memory required. The reassembled image after decompression is as similar as the input image.

References

10 Cites in Article
  1. Olivier Egger,Wei Li (1994). Very low bit rate image coding using morphological operators and adaptive decompositions.
  2. Ricardo De Queiroz (1998). Processing JPEG-Compressed Images and Documents.
  3. Ravi Prakash,J Mitchell,D Stepneski (2001). Enhanced JPEG compression of documents.
  4. Bai Xiangzhi,Zhou Fugen (2006). Edge Detection Based on Mathematical Morphology and Iterative Thresholding.
  5. G Sreelekha,P Sathidevi (2007). An Improved JPEG Compression Scheme Using Human Visual System Model.
  6. G Srinivas,P Naga Srinivasu,T Srinivas Rao,C Ramesh (2017). Harmonic and Contra-Harmonic Mean-Centric JPEG Compression for an Objective Image Quality Enhancement of Noisy Images.
  7. Ch,N Ramesh,J Venkateswarlu,Murthy (2012). Filter Augmented JPEG Compressions.
  8. G Marlapalli Krishna,Prasad Srinivas,Pvgd Reddy (2016). Image Smoothening and Morphological operators Based JPEG Compression.
  9. Marlapalli Krishna,Prasad Reddy,Pvgd,G Srinivas (2016). A Smoothening based JPEG Compression for an Objective Image Quality Enhancement of Regular and Noisy Images.
  10. G Srinivas,P Naga Srinivasu,T Srinivas Rao,C Ramesh (2017). Harmonic and Contra-Harmonic Mean-Centric JPEG Compression for an Objective Image Quality Enhancement of Noisy Images.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Vanitha Kakollu. 2018. \u201cAlpha Trimmed Mean based JPEG Compression for an Objective Image Quality Enhancement of Noisy and Noise less Images\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 17 (GJCST Volume 17 Issue F3): .

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
Classification
B.4.2, I.4.1
Version of record

v1.2

Issue date

January 17, 2018

Language
en
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Published Article

We can see that over the past few years, the number of people using the internet and the amount of information transmitted over the internet has grown to such a wide range. One of the best ways to reduce the image size is via image compression. In the compression of the still image, JPEG is better when it comes to bandwidth conservation. In this paper, we discussed an innovative JPEG compression algorithm with alpha-trimmed means based clustering. The proposed algorithm is expected to produce better results regarding MSE, PSNR and the number of bits transmitted when compared to the standard algorithms. The proposed JPEG algorithm enhances the speed and reduces the number of encoded bits, thereby reducing the amount of memory required. The reassembled image after decompression is as similar as the input image.

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Alpha Trimmed Mean based JPEG Compression for an Objective Image Quality Enhancement of Noisy and Noise less Images

Vanitha Kakollu
Vanitha Kakollu GITAM University
G. Narasimha
G. Narasimha
P. Chandrasekhar Reddy
P. Chandrasekhar Reddy

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