Top 7 Image Compression Projects

Image Compression is a method deployed onto any graphics categorical file for reducing the dimension like size by also ensuring the better quality of image to permissible threshold value. This way, the requirements for the memory could come down drastically. As the interest towards the image compression approaches are ever increasing in the arena of scholarly world, we are in the need of enhanced image compression processes. So, we are going to list and brief the top 7 image compression projects in the below sections of the short write-up. These top 7 image compression projects will be able to give basic picture of a typical image compressing project to any students to help them complete those projects without any hassle.

Providing the students with the Top 7 Image Compression Projects to make them realize every pre-requisite to crack their projects:

1. RGB Image Compression Using Discrete Cosine Transform Algorithm 

Compression of RGB- Red Green Blue colored images might be difficult as those colors are the primary colors that we tend to see in most of our surrounding including the computer screen.

These RGB colored images could be easily compressed by using the DCT- Discrete Cosine Transform. The compression could be performed by partitioning the images into 16 × 16 or 8 × 8 blocks and in case of video compressing, the frames could be taken into consideration.

Whenever the students do the projects on the genre of the image compression, they tend to realize a few pre-requisite skillsets/ concepts which later help them to crack their projects in a positive note. Those pre-requisites are as follows: basics of image processing; frames; understanding the different types of image formats; network bandwidth; storage space; etc.

2. Fingerprint compression based on sparse Representation 

The authentication systems of these days have become much robust than the earlier by using the identities like retina scan; finger prints scan; etc. However, as the number of compressions that are to be stored in the authentication systems are larger, they often need to be compressed for accommodating more numbers of finger print identities.

For the achieving the compression of these larger number of finger prints, an enhanced compressing methodology named sparse representation could be utilized.  

Whenever the students do the projects on the genre of the image compression, they tend to realize a few pre-requisite skillsets/ concepts which later help them to crack their projects in a positive note. Those pre-requisites are as follows: basics of image processing; authentication systems; understanding the different types of image formats; network bandwidth; bio-metric systems; storage space; etc.

3. Hierarchical Prediction and Context Adaptive Coding for Lossless Color Image Compression 

When it comes to fulfill the raised bandwidth or memory requirements, the compression methodology named lossless color compression is used.

Stratified forecasting and context reconciling arithmetic coding could be deployed for performing the lossless color image compression. The images of the RGB could be taken into consideration for this kind of image compression process.

Whenever the students do the projects on the genre of the image compression, they tend to realize a few pre-requisite skillsets/ concepts which later help them to crack their projects in a positive note. Those pre-requisites are as follows: basics of image processing; special benefits offered by lossless compression along with the suitable approaches; understanding the different types of image formats; network bandwidth; storage space; etc.

4. Approximation and Compression With Sparse Orthonormal Transform

Much reduced degrees of freedom containing compression image outcomes could be resulted with the utilization of effective transforms. Not just compression, but also the approximation could be resulted with these transforms.

From the context of futuristic multimedia utilizations, a novel transform design approach targeting the production of compressed enhanced transforms could be developed with the least repetitions. 

Whenever the students do the projects on the genre of the image compression, they tend to realize a few pre-requisite skillsets/ concepts which later help them to crack their projects in a positive note. Those pre-requisites are as follows: understanding of transforms; basics of image processing; understanding the different types of image formats; knowledge of multimedia; network bandwidth; storage space; etc.

5. Enhanced Ultrasound Image Reconstruction Using a Compression Blind De-Convolution Approach 

The exploration towards the reconstruction of US- Ultra Sonic images make us to come across the conceptions of the CS- Compressive Samplings and Compressive deconvolution. 

Better US type image reconstructions are possible with the development of technique named CBD- Compressive Blind Deconvolution.

Whenever the students do the projects on the genre of the image compression, they tend to realize a few pre-requisite skillsets/ concepts which later help them to crack their projects in a positive note. Those pre-requisites are as follows: basics of image processing; Dealing of US images; understanding the different types of image formats; basics of deconvolution; network bandwidth; storage space; etc.

6. Two-Dimensional Orthogonal DCT Expansion in Trapezoid and Triangular Blocks and Modified JPEG Image Compression 

There is a craze behind the JPEG- Joint Photographic Experts Group type image compressing approaches when compared to other standards used in the arena of image processing.

A much-enhanced DCT could be used for achieving the effective JPEG type image compression. For the purpose of extending the prospects of the DCT, 2-D orthogonal splitting of triangular as well as the trapezoidal shapes could be done, which in turn results in raised compression ratio.

Whenever the students do the projects on the genre of the image compression, they tend to realize a few pre-requisite skillsets/ concepts which later help them to crack their projects in a positive note. Those pre-requisites are as follows: basics of image processing; enhancements of DCT; understanding the different types of image formats; network bandwidth; JPEG formats; storage space; etc.

7. Comparative Analysis Variable Quantization DCT and SVD Image Compression

As the needs of compression of multimedia like images and videos are increasing, the methods proposed to fulfill those needs are also increasing. 

A comparative investigation of two novel compressing methodologies like SVD- Singular Value Decomposition and fluctuating quantization DCT could be made with respect to two aspects like PSNR- Peak Signal to Noise Ratio and compression ratio.

Whenever the students do the projects on the genre of the image compression, they tend to realize a few pre-requisite skillsets/ concepts which later help them to crack their projects in a positive note. Those pre-requisites are as follows: Understanding of comparative investigations; basics of image processing; understanding the different types of image formats; SVD; network bandwidth; DCT; storage space; etc.