A Perceptually Optimized Embedded Image Coder and Quality Assessor Based on Visual Tools

Bajit, Abderrahim; Nahid, Mohammed; Lassioui, Abdellah; Tamtaoui, Ahmed

doi:10.1109/isaect.2018.8618768

Cited by 7 publications

(7 citation statements)

References 17 publications

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“…It takes its advantages from its adapted variant VOEFIC, that is baptized "Visually Optimized Embedded Foveation Image Coder" and largely explained in [10]. We have conceived these coders regarding their forerunner EVIC [11], MEVIC [12], POEZIC [38], as well as their foveal variant POEFIC that was elaborated in [39]. We additionally presented the quality evaluator FWVDP, that is entitled "Foveation Wavelet Visible Difference Predictor" [32][33].…”

Section: Resultsmentioning

confidence: 99%

“…We advance in Figures 2 and 3, the flow process of the VOEFIC coder "Visually Optimized Embedded Foveation Image Coder" [12] and its upgraded variant MOEFIC the "Modified Optimization Embedded Foveation Image Coder". The two coders comprise five successive stages itemized as come after.…”

Section: Foveation Wavelet-based Visual Image Coding Diagrammentioning

confidence: 99%

“…The two coders comprise five successive stages itemized as come after. In the initial trail, it transforms the source picture utilizing a discrete wavelet DWT that play out a cortical-like decay [1] exploiting a 9/7 biorthogonal filter [13][14] which, in view of its extraordinary mathematic criterions [15] guarantees an ideal reproduction as prescribed by the standard coder JPEG2000 [12][13]. In the following trail, related to the fixation point and its related observation distance we compute the wavelet-based foveal filter [2][3][4][5].…”

Section: Foveation Wavelet-based Visual Image Coding Diagrammentioning

confidence: 99%

“…This activity shadows undetectable differentiation parts and lifts above JNDs limits every single noticeable one concerning the degree of wavelet edges (Section IV). The primary reason for our upgraded visually based masking layout and exclusively furnished to the MOEFIC coder (VOEFIC coder upgraded variant) [10][11][12] is its capacity of regulating none directly the picture spectral contents regarding the visioning conditions. This parameter, as it develops from a lower to higher values, the spectral form plans to cover the significant frequencies.…”

Section: Foveation Wavelet-based Visual Image Coding Diagrammentioning

confidence: 99%

“…In [2][3][4][5], the foveal masking strategy implements a non-uniform arranging design [6][7][8][9] that lacks the integration of psycho-visual properties. Lately, incredible achievement has been furnished by a couple of wavelet picture coders that are based zones of concern (ROI), like the coders implemented in [4][5][6][7][8][9], their psychovisual variant accurate in [10][11][12] and the norm JPEG2000 cited in [14].…”

Section: Introductionmentioning

confidence: 99%

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A Psychovisual Optimization of Wavelet Foveation-Based Image Coding and Quality Assessment Based on Human Quality Criterions

Bajit¹,

Nahid²,

Tamtaoui³

et al. 2020

Adv. sci. technol. eng. syst. j.

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In the present article, we introduce a foveation-based optimized embedded and its optimized version image coders thereafter called VOEFIC/MOEFIC and its related foveation wavelet visible difference predictor FWVDP coding quality metric. It advances a visually advanced foveal weighting mask that regulates the wavelet-based image spectrum before its encoding by the SPIHT encoder. It intends to arrive at a destined compression rate with a significant quality improvement for a disposed of binary budget, witnessing separation, and a foveal locale that locates the object in the zone of concern ROI. The coder embodies a couple of masking achieves build on the human psycho-visual quality criteria. Hence, the coder administers the foveal model to weigh the source wavelets samples, reshapes its spectrum content, adapts its shape, discards or somewhat shrinks the redundant excess and finally enhances the visual quality. The foveal weighting mask is computed indoors wavelet subbands as come after. First, it administers the foveal wavelet-based filter depending on the intention point so that it removes or at least reduces the imperceptible frequencies around the zone of concern. Next, it augments the picture contrast according to wavelet JND thresholds to manage brightening and nice the contrast above the distortion just notable. Once refined, the weighted wavelet spectrum will be embedded coded using the standard SPIHT to reach a desired binary bit budget. The manuscript also advances a foveationbased objective quality evaluator that embodies a psycho-visual quality criterion identified with the visual cortex framework. This investigator furnishes a foveal score FPS having the power of detecting probable errors and measuring objectively the compression quality. Keep in mind that the foveal coder VOEFIC and its visually upgraded variant MOEFIC, have similar complexity as their reference SPIHT. In contrast, their gathered data highlight the visual coding advancement and the boost ratio purchased in its quality gain.

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