Comparison of Image Compression Behaviour for WhatsApp, Viber and LINE

Transcription

1 Comparison of Image Compression Behaviour for WhatsApp, Viber and LINE Moath Maharmeh University of Petra Al-Bunayyat, Amman, 11196, Jordan Keywords: WhatsApp compression, Viber compression, LINE compression. Abstract Image compression is now essential for applications such as transmission and storage in data bases. In this paper we compare actual results against three different images formats BMP, PNG, and JPEG against three popular social media applications, WhatsApp, Viber, and LINE. In this paper we provide a summary for which App provides best image compression and best image quality. I. Introduction Image compression is the application of data compression on digital images. The objective is to reduce redundancy of the image data in order to be able to store or transmit data in an efficient form. Lossless data compression involves a transformation of the representation of the original data set such that it is possible to reproduce exactly the original data set by performing a decompression transformation [1]. However, lossless compression can only achieve a modest amount of compression. An image reconstructed following lossy compression contains degradation relative to the original [2]. Often this is because the compression scheme completely discards redundant information. However, lossy schemes are capable of achieving much higher compression. Under normal viewing conditions, no visible loss is perceived (visually lossless). II. How the image compression ratio measured? Compression ratio can be measured using this formula: SO/SC = C Where so is the size, sc is the new Size, and C is the compression ratio. III. How the image quality ratio measured? Image Quality can be measured by Finding Meansquared error (MSE) and Peak Signal-to-Noise Ratio (PSNR). The mathematical representation of the MSE/PSNR is as follows: PSNR = 20Log 10 ( MAXf MSE ) (1) (1) In order to calculate th (2) MSE between two images, then both images must have the same matrix dimensions. In this report, some of the Reference images have been resized to match the Noisy image dimensions; while preserving the quality. There are also some images that have been converted to the same format of the Noisy images for the same reason. IV. Results and Discussions The following tables show the tested results in different scenarios.

2 Table 1 WhatsApp BMP Format Image File Size Dimension New Size New Dimensions Compression Ratio MSE PSNR RGB 120, x200 3, x Disney 2,359, x , x Mountain Laurel 2,250, x , Sunset 1,440, x600 60, Hildebrandt 787, x , Zhbackground 1,254, x610 95, Hand shot 1,572, x , Naruto 2,359, x768 77, Flowers 2,359, x , Table 2 WhatsApp PNG Format Image File New Size New RGB 2, x200 3, x Disney 1,429, x , x Mountain 1,333, x , Laurel Sunset 668, x600 60, Hildebrandt 550, x , Zhbackground 777, x610 95, Hand shot 565, x , Naruto 946, x768 77, Flowers 1,613, x , Table 3 WhatsApp JPEG Format Image File New Size New Bubbles 3,441, x , x Meerkat 3,596, x , x Zoo 5,989, x , x Canon_EOS 4,105, x , x Angry-wolf 465, x , x GraphicHD 1,021, x , x Nimibia 138, x , x Eye 134, x , x Apples 519, x , x

3 Table 4 Viber BMP Format Image File Size Dimension New Size New Dimensions Compression Ratio MSE PSNR RGB 120, x200 9, x Disney 2,359, x , x Mountain Laurel 2,250, x , Sunset 1,440, x , Hildebrandt 787, x , Zhbackground 1,254, x , Hand shot 1,572, x , Naruto 2,359, x , Flowers 2,359, x , Table 5 Viber PNG Format Image File New Size New RGB 2, x200 9, x Disney 1,429, x , x Mountain 1,333, x , Laurel Sunset 668, x , Hildebrandt 550, x , Zhbackground 777, x , Hand shot 565, x , Naruto 946, x , Flowers 1,613, x , Table 6 Viber JPEG Format Image File New Size New Bubbles 3,441, x , x Meerkat 3,596, x , x Zoo 5,989, x , x Canon_EOS 4,105, x , x Angry-wolf 465, x , x GraphicHD 1,021, x , x Nimibia 138, x , x Eye 134, x , x Apples 519, x , x

4 Table 7 LINE BMP Format Image File Size Dimension New Size New Dimensions Compression Ratio MSE PSNR RGB 120, x200 3, x Disney 2,359, x , x Mountain Laurel 2,250, x750 98, Sunset 1,440, x600 50, Hildebrandt 787, x , Zhbackground 1,254, x610 73, Hand shot 1,572, x , Naruto 2,359, x768 62, Flowers 2,359, x , Table 8 LINE PNG Format File Name New Size New RGB 2, x200 3, x Disney 1,429, x , x Mountain 1,333, x750 98, Laurel Sunset 668, x600 50, Hildebrandt 550, x , Zhbackground 777, x610 73, Hand shot 565, x , Naruto 946, x768 62, Flowers 1,613, x , Table 9 LINE JPEG Format Image File New Size New Bubbles 3,441, x , x Meerkat 3,596, x , x Zoo 5,989, x , x Canon_EOS 4,105, x , x Angry-wolf 465, x , x GraphicHD 1,021, x , x Nimibia 138, x , x Eye 134, x , x Apples 519, x , x

5 Peak signal-to-noise ratio Compression Ratio Table 10 Average result for each application WhatsApp Viber LINE Compression Ratio Mean Square Error (MSE) Peak signal to noise Ratio The following charts show the applications that show better compression and those that show best quality: Whatsapp Viber LINE Figure 1 Best Compression Higher is better Whatsapp Viber LINE Figure 2 Best Image Quality Higher is better

6 V. Conclusion The findings show that there is an inverse relationship between the compression ratio and the image quality ratio. Some applications preserve the image quality at the cost of the compression ratio and vice versa. Some applications make a balance between these two factors. In the light of these results I can say that each application targets a specific segment of users. For example, users who have slow internet connection are more likely to use the Line application due to the higher compression ratio which makes the transmission time of an image faster than other applications. VI. References 1. Hussein Al-Bahadili, A novel lossless data compression scheme based on the error correcting Hamming codes vol 56, issue 1, Amsterdam, Elsevier, H. R. Wu, and K.R. Rao, Digital Video Image Quality and Perceptual Coding, Florida, 2005.