Path: EDN Asia >> Design Centre >> Computing/Peripherals >> Algorithm for lossy image compression using FPGA
Computing/Peripherals Share print

Algorithm for lossy image compression using FPGA

05 Apr 2013  | K. Rajesh Kumar

Share this page with your friends

The strength of the weighted data in the image has been reduced by subtracting all the data's with the matrix mean and made into small clusters .The each clusters are parallel processed by taking the threshold and dividing it into smaller module's and assigned a weighted value. These individual clusters are concatenated and in the DCT, the concatenated image is divided into 8-by-8 or 16-by-16 blocks, and the two-dimensional DCT is computed for each block. The DCT coefficients are then quantised, coded, and stored in the memory as compressed image .the forward steps are reversed to get the lossy image. Figures 2, 3 and 4 represent the original, compressed and reconstructed image.

Figure 2: Original image.

Figure 3: Compressed image.

Figure 4: Reconstructed image.

Figure 5: An example for the proposed scheme.

Performance comparison
In this section the proposed algorithm SME is compared with the existing techniques like the standard LMS,the normalized LMS (NLMS),the MVSS, the conventional TDLMS, the DCT-LMS, the TDVSS, and the VSSTDLMS. The DCT was selected as the orthogonal transform for all the simulations.

The following highly correlated input signal same as given in [9]-[11] was used

Where v (n) is uncorreleated Gaussian signal with zero mean and 0.14817 variance.

The MSE is the cumulative squared error between the compressed and the original image.

 First Page Previous Page 1 • 2 • 3 Next Page Last Page

Want to more of this to be delivered to you for FREE?

Subscribe to EDN Asia alerts and receive the latest design ideas and product news in your inbox.

Got to make sure you're not a robot. Please enter the code displayed on the right.

Time to activate your subscription - it's easy!

We have sent an activate request to your registerd e-email. Simply click on the link to activate your subscription.

We're doing this to protect your privacy and ensure you successfully receive your e-mail alerts.

Add New Comment
Visitor (To avoid code verification, simply login or register with us. It is fast and free!)
*Verify code:
Tech Impact

Regional Roundup
Control this smart glass with the blink of an eye
K-Glass 2 detects users' eye movements to point the cursor to recognise computer icons or objects in the Internet, and uses winks for commands. The researchers call this interface the "i-Mouse."

GlobalFoundries extends grants to Singapore students
ARM, Tencent Games team up to improve mobile gaming

News | Products | Design Features | Regional Roundup | Tech Impact